{"id":"W6894274975","doi":"10.5683/sp3/psdj94","title":"Heuristic Deficits and Clinical Decision Making","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Heuristics; Heuristic; Affect (linguistics); Process (computing); Decision support system; Clinical decision making","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":[],"consensus_categories":[],"category_scores_codex":[0.003111389,0.001499513,0.0009453988,0.002188311,0.0007504181,0.002390931,0.002605086,0.002273642,0.02247622],"category_scores_gemma":[0.02696211,0.0004579893,0.001664595,0.002421847,0.0006764154,0.001264393,0.001914163,0.001942909,0.01557431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002149471,"about_ca_system_score_gemma":0.00234632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02762887,"about_ca_topic_score_gemma":0.05199509,"domain_scores_codex":[0.9981768,0.0006029267,0.000227616,0.000485843,0.0003355376,0.0001712287],"domain_scores_gemma":[0.9931752,0.003585799,0.0008803992,0.001079662,0.0009343626,0.0003445178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009204081,0.0001860094,0.03168763,0.002167298,0.0002782475,0.00008265364,0.0001324744,0.002703542,0.0001322287,0.001805948,0.942898,0.01700551],"study_design_scores_gemma":[0.003842123,0.000537654,0.1438521,0.00364434,0.0009914584,0.001596627,0.000722849,0.02640303,0.001788816,0.04005803,0.7762887,0.0002743489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01086237,0.001865214,0.0007434535,0.001699609,0.0001716337,0.0001170966,0.9783723,0.0006112003,0.005557197],"genre_scores_gemma":[0.03214053,0.0003486192,0.001637776,0.000619299,0.00005475412,0.0003107555,0.9634334,0.00005243114,0.001402463],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02762887,"threshold_uncertainty_score":0.07519048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03554820825055188,"score_gpt":0.383902741432573,"score_spread":0.3483545331820211,"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."}}