{"id":"W4386981858","doi":"10.31234/osf.io/pa3g4","title":"Can Children and Adults Balance Majority Size with Information Quality in Learning from Preferences?","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Normative; Quality (philosophy); Balance (ability); Psychology; Hearsay; Group (periodic table); Information quality; Social psychology; Information system; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002480592,0.0002574994,0.0004271884,0.0006186754,0.0006996539,0.002104848,0.0004489425,0.000640123,0.002060056],"category_scores_gemma":[0.01062585,0.000341449,0.0002494736,0.0005305859,0.001792239,0.001741928,0.0008540408,0.0006022023,0.0003720165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250905,"about_ca_system_score_gemma":0.001449714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09223853,"about_ca_topic_score_gemma":0.16192,"domain_scores_codex":[0.9987937,0.0001256187,0.00005480102,0.0002543168,0.0005595769,0.0002118992],"domain_scores_gemma":[0.9952807,0.0009495462,0.001883712,0.0004239301,0.0007266328,0.000735526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004753005,0.0002212803,0.9038025,0.0001015533,0.00005139555,0.0004172324,0.02395823,0.0002579564,0.01034092,0.002172465,0.001073725,0.05712743],"study_design_scores_gemma":[0.00002018402,0.0002775595,0.9863063,0.0000486204,0.00002747058,0.0003083355,0.007761654,0.0003256833,0.001354606,0.001352565,0.002179852,0.00003729542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970409,0.0002916328,0.0002349823,0.0001400908,0.000006218224,0.000009583798,0.00006614543,0.00000451984,0.002205833],"genre_scores_gemma":[0.9985354,0.0002330573,0.0005254808,0.0001061315,0.000004409707,0.000008641218,0.00009871147,0.000003257219,0.0004849976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09223853,"threshold_uncertainty_score":0.1834033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02149359859872205,"score_gpt":0.279465443952191,"score_spread":0.257971845353469,"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."}}