{"id":"W2137126279","doi":"10.1111/j.1365-2923.2012.04242.x","title":"Clinical reasoning processes: unravelling complexity through graphical representation","year":2012,"lang":"en","type":"article","venue":"Medical Education","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bausch Health (Canada); Centre de Santé et de Services Sociaux Cavendish; McGill University; Université de Montréal; Montreal General Hospital","funders":"","keywords":"GRASP; Computer science; Process (computing); Curriculum; Action (physics); Artificial intelligence; Management science; Psychology; Data science; Software engineering","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":[0.006820705,0.001467784,0.0006894227,0.003692655,0.001249729,0.006628168,0.002372393,0.002093799,0.006464559],"category_scores_gemma":[0.02582024,0.0009016328,0.002577728,0.002246744,0.004513932,0.008572961,0.004280098,0.002411555,0.0008992219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002222979,"about_ca_system_score_gemma":0.002615753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006183196,"about_ca_topic_score_gemma":0.005463636,"domain_scores_codex":[0.9941728,0.003821323,0.0004491239,0.0007080919,0.0007020805,0.0001466245],"domain_scores_gemma":[0.9770045,0.01784878,0.001505937,0.002412844,0.0009486204,0.0002792303],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004998544,0.0002625554,0.01661805,0.002421626,0.000284283,0.001047508,0.05057272,0.1493013,0.009468295,0.4984987,0.005448117,0.265577],"study_design_scores_gemma":[0.0001459264,0.0002388522,0.005001919,0.001420998,0.0002815154,0.0009542416,0.005446828,0.4599678,0.004819931,0.4294709,0.09206811,0.0001830256],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02659431,0.0004471579,0.9609032,0.001465424,0.00004852402,0.000363892,0.0004586298,0.001495107,0.008223736],"genre_scores_gemma":[0.2410563,0.0005737383,0.7548294,0.0001581865,0.00002281324,0.0006818791,0.0008558395,0.0001472136,0.001674727],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9931793,"threshold_uncertainty_score":0.03607178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09182582099801148,"score_gpt":0.4684455796705611,"score_spread":0.3766197586725496,"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."}}