{"id":"W2423451015","doi":"10.71781/32372","title":"Évaluation de la performance du score de propension à hautes dimensions dans le cadre d’études observationnelles québécoises","year":2014,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Psychology; Humanities; Physics; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01145666,0.0008464725,0.001065082,0.001631971,0.00115181,0.001744313,0.0008446665,0.0008999076,0.002298063],"category_scores_gemma":[0.02168492,0.0003445931,0.000959038,0.001538455,0.0006863114,0.0004472589,0.0007678274,0.0007730448,0.0003723194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002216206,"about_ca_system_score_gemma":0.004259651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3726836,"about_ca_topic_score_gemma":0.4944608,"domain_scores_codex":[0.9952133,0.002355523,0.0003606369,0.0008969359,0.0008649757,0.0003086388],"domain_scores_gemma":[0.9841525,0.007100299,0.001450696,0.0007202338,0.005815178,0.0007610631],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00204629,0.0002065565,0.8754907,0.0006850248,0.001907167,0.0003148736,0.002937438,0.00379924,0.006519199,0.0005574861,0.00389449,0.1016416],"study_design_scores_gemma":[0.0001780865,0.0007005823,0.9663359,0.0002583044,0.0009093398,0.0002562974,0.001624394,0.01734895,0.002723978,0.0003720892,0.009188208,0.0001039529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9716642,0.004026153,0.01519965,0.0006243819,0.0001277979,0.0003920035,0.003744509,0.0001743022,0.004047154],"genre_scores_gemma":[0.9659532,0.0013656,0.02176426,0.0002604787,0.00006436886,0.0006715416,0.004261171,0.00007570436,0.00558366],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9885433,"threshold_uncertainty_score":0.7410288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4133723944608735,"score_gpt":0.4350642139983816,"score_spread":0.02169181953750809,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}