{"id":"W4382245546","doi":"10.3410/f.742688576.793599093","title":"Faculty Opinions recommendation of Learning artificial number symbols with ordinal and magnitude information.","year":2023,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Magnitude (astronomy); Statistics; Ordinal regression; Ordinal data; Mathematics; Artificial intelligence; Computer science; Psychology; Physics; Astrophysics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00264412,0.003465674,0.001630306,0.004043084,0.000940688,0.003094764,0.003822478,0.003473581,0.09822784],"category_scores_gemma":[0.01783792,0.0008572086,0.001834524,0.004284701,0.0005453666,0.002285861,0.002152088,0.002427181,0.1727899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001962784,"about_ca_system_score_gemma":0.003221772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02722475,"about_ca_topic_score_gemma":0.08157492,"domain_scores_codex":[0.9978691,0.0004609041,0.0002238379,0.0005736888,0.0006535025,0.0002188657],"domain_scores_gemma":[0.9920188,0.002038777,0.0003244778,0.002123792,0.002698257,0.0007959118],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004431215,0.00003342752,0.0004357584,0.000234176,0.00001228952,0.000006449147,0.000006271579,0.0001433704,0.00006337744,0.0001174513,0.9951199,0.00378323],"study_design_scores_gemma":[0.0004621143,0.00006286333,0.003220665,0.0003011877,0.00004344838,0.00005881369,0.00008499935,0.004885159,0.0009463009,0.001610901,0.9882787,0.00004478224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006083765,0.000173761,0.0005487325,0.0004697691,0.0003024978,0.0000963259,0.9911615,0.002702012,0.003937052],"genre_scores_gemma":[0.001028107,0.00009386174,0.0019737,0.0001982425,0.00004274684,0.0001277783,0.9930885,0.0001710071,0.003276073],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9973559,"threshold_uncertainty_score":0.3286048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1115761453096579,"score_gpt":0.4391243034814316,"score_spread":0.3275481581717737,"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."}}