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Enregistrement W6922636489 · doi:10.1371/journal.pbio.3001566.s001

S1 Text -

2022· article· en· W6922636489 sur OpenAlexaboutno aff

Notice bibliographique

RevueFigshare · 2022
Typearticle
Langueen
DomaineComputer Science
ThématiqueEducational Robotics and Engineering
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSoftmax functionValue (mathematics)Table (database)Pearson product-moment correlation coefficientConfusionCorrelationArtifact (error)

Résumé

récupéré en direct d'OpenAlex

<p><b>Contains Supporting information Methods, Results, and Supporting information Tables A–I. Table A: Parameter recovery (schedule used for confirmation sample).</b> The table shows correlations (Pearson’s r) between simulated (“ground truth”) parameters (headers highlighted in grey) and the fitted (“recovered”) parameters (headers with white background) for the decision models of the initial (top) and later (bottom) searches. All parameters showed very good recovery (<i>r</i> > 0.88, diagonal, highlighted in blue). The off-diagonal values show that confusion between parameters was very low (all < 0.22). We used 500 simulated participants for these results. Data in files <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.s019" target="_blank">S13</a> and <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.s020" target="_blank">S14</a> Data. <b>Table B: Parameter correlations for initial decisions</b> (confirmation sample). We ran a Pearson correlation of the hierarchically fit parameter estimates from our cognitive model on the initial decisions to look at their relationships. Even though simulations (S1 Table) showed very low parameter confusions, parameters from real participants showed in parts substantial correlations (Pearson’s r), suggesting those correlations are a real relationship existing in participants, rather than an artifact of model fitting. invTemp (inverse temperature of the softmax equation linking value to choice probabilities), SearchBias (bias for or against searching). Prospective (prospective value of the model), Myopic (Myopic value of the model). AvgProspVChange (average change of prospective value per search in the future). Data in file <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.s017" target="_blank">S11 Data</a>. <b>Table C: Parameter correlations for later searches</b> (confirmation sample). We ran a Pearson correlation of the hierarchically fit parameter estimates from our cognitive model on the later decisions to look at their relationships. Even though simulations (S1 Table) showed very low parameter confusions, parameters from real participants showed in parts substantial correlations (Pearson’s r), suggesting those correlations are a real relationship existing in participants, rather than an artifact of model fitting. Abbreviations same as S2 Table. ProspVS1 (prospective value at first search). ProspVS1mAdapted (change of prospective value since first search). PrevSearches (number of previous searches). Total Cost (sum of total cost since first search). Data in file <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.s015" target="_blank">S9 Data</a>. <b>Table D: Additional demographics (confirmation sample)</b>. Participants completed the following questionnaires. AMI [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.ref001" target="_blank">1</a>], OCI-R [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.ref002" target="_blank">2</a>], BDI [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.ref003" target="_blank">3</a>], Spielberger State Anxiety [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.ref004" target="_blank">4</a>], Liebowitz Social anxiety [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.ref005" target="_blank">5</a>], Short Scales for Measuring Schizotypy [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.ref006" target="_blank">6</a>] (“unusual experiences” and “introvertive anhedonia” subscale), Fatigue scale [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.ref007" target="_blank">7</a>], and Toronto alexithymia scale [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.ref008" target="_blank">8</a>]. Depression cutoffs were (less than 13 “Minimal,” less then 20 “Mild,” less than 29 “Moderate,” and higher or equal 29 “Severe”). Obsessive compulsion less than 21 “none,” otherwise “clinically significant”). For social anxiety, we had less than 30 as “none,” between 30 but less than 60 as “possible” and at and above 60 as “probable” social anxiety. For Alexithymia, we had less than 52 as none, between 52 but less than 61 as “possible” and at and above 62 as “present” Alexithymia. Fatigue was “none” below 22, “present” between 22 and 34, and “extreme” above 34. Data in file <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.s011" target="_blank">S5 Data</a>. <b>Table E: Results of regressions linking clinical dimensions to decision and self-report measures controlling for medication status</b> (confirmation sample). As control regressors, we included age, gender and education (as in main manuscript). Additionally, here, psychoactive medication status is also included (coded as “Yes”/“No” as there were too few respondents of individual types of medications). Data in files <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.s008" target="_blank">S2</a>, <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.s012" target="_blank">S6</a>, <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.s015" target="_blank">S9</a>, and <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.s022" target="_blank">S16 Data</a>. <b>Table F: Results of regressions linking clinical dimensions to later search decisions.</b> Results of all parameters from model fit to the later search decisions and dimensions. We used 90% 2-sided CIs, to show the results of 1-sided (95% CI) tests for our preregistered hypotheses and to show what other links have any evidence. Data in files S9 and 16 Data. <b>Table G: Results of regressions linking clinical dimensions to initial search decisions.</b> Results of all parameters from model fit to the initial search decisions and dimensions. We used 90% 2-sided CIs, to show the results of 1-sided tests for our preregistered hypotheses and to show what other links have any evidence. Data in files <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.s017" target="_blank">S11</a> and <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.s022" target="_blank">S16</a> Data. <b>Table H: Results of regressions linking clinical dimensions to self-report measures.</b> Results of all self-report measures fit to the dimensions. We used 90% 2-sided CI, to show the results of 1-sided tests for our preregistered hypotheses and to show what other links have any evidence. Data in files <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.s008" target="_blank">S2</a> and <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.s022" target="_blank">S16</a> Data. <b>Table I: Additional medication information (confirmation sample)</b>. All information for the types of medications excluded and included participants used (No and Yes). The most common medication were selective serotonin reuptake inhibitor. Data in file <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001566#pbio.3001566.s012" target="_blank">S6 Data</a>. AMI, Apathy Motivation Index; BDI, Beck Depression Inventory; CI, confidence interval; OCI-R, Obsessive-Compulsive Inventory.</p> <p>(PDF)</p>

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,875
Score d'incertitude au seuil0,997

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,1630,003

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,031
Tête enseignante GPT0,228
Écart entre enseignants0,197 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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