{"id":"W1848212714","doi":"10.1152/advances.2001.25.2.2","title":"DESIGN AND EVALUATION OF A NATIONAL SET OF LEARNING OBJECTIVES: THE MEDICAL PHYSIOLOGY LEARNING OBJECTIVES PROJECT","year":2001,"lang":"en","type":"article","venue":"AJP Advances in Physiology Education","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical education; Set (abstract data type); Physiology; Human physiology; Psychology; Medicine; Computer science; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008783987,0.0001086062,0.0001781818,0.0001661736,0.00004564126,0.000002707504,0.0001038896,0.0001116619,0.00003402765],"category_scores_gemma":[0.0007057968,0.0000870697,0.00002252484,0.0003846259,0.0001975564,0.0001782318,0.00001893164,0.0002908951,0.000001410408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008419201,"about_ca_system_score_gemma":0.0003211546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002419558,"about_ca_topic_score_gemma":0.000006996048,"domain_scores_codex":[0.9988073,0.0003419673,0.0002527078,0.0001759909,0.0002778139,0.0001442638],"domain_scores_gemma":[0.9991198,0.0004958794,0.00009442906,0.00007734277,0.000187845,0.00002467547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009834016,0.0002410253,0.00363471,0.0004972233,0.00008677888,1.1759e-7,0.01014282,0.7151417,0.09694783,0.0008485333,0.0001345594,0.1722264],"study_design_scores_gemma":[0.001057392,0.0003859079,0.3807963,0.000419543,0.00005446287,0.00003495656,0.00992875,0.5747074,0.005160097,0.02374202,0.003317052,0.0003962123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918644,0.003593885,0.00285498,0.0001085132,0.0005349672,0.0002982235,6.812514e-7,0.00004202675,0.0007023162],"genre_scores_gemma":[0.9969736,0.002105631,0.00050554,0.00001235533,0.0001728829,0.0001693456,0.00003398693,0.00001131764,0.00001535856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3771615,"threshold_uncertainty_score":0.35506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01839656738234239,"score_gpt":0.3285496860568197,"score_spread":0.3101531186744773,"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."}}