{"id":"W2318488476","doi":"10.1097/acm.0b013e31826768d4","title":"“The Benefits Make Up for Whatever Is Lost”","year":2012,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Sunnybrook Hospital","funders":"","keywords":"MEDLINE; Medical education; Psychology; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007408705,0.0001810836,0.000345147,0.00006215415,0.0001717818,0.000003724057,0.0001695606,0.0002240237,0.0006889633],"category_scores_gemma":[0.0009949114,0.00009193087,0.00008197345,0.0001653806,0.000146529,0.0000878704,0.00005435171,0.0004517736,0.0002454711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004564353,"about_ca_system_score_gemma":0.0000503468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001092781,"about_ca_topic_score_gemma":7.772489e-7,"domain_scores_codex":[0.9984497,0.00001597361,0.0004034783,0.0001876869,0.0003636996,0.0005794609],"domain_scores_gemma":[0.9985113,0.0004041526,0.00009917615,0.0003295398,0.0000957711,0.0005600842],"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":[0.0002519171,0.00002345687,0.1052369,0.0001503907,0.0001423827,0.000003303405,0.006049636,1.421188e-7,0.001319751,0.01516576,0.7437441,0.1279122],"study_design_scores_gemma":[0.002170135,0.000296901,0.03296869,0.000357692,0.0002046803,0.00007185899,0.001561642,0.00003290668,0.002115711,0.0007151025,0.959364,0.0001406856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.734435,0.05136221,0.0003325636,0.1967906,0.004952694,0.001538419,0.00001805927,0.0001203706,0.01045006],"genre_scores_gemma":[0.8459848,0.004268293,0.000136462,0.02042953,0.003184533,0.00004785023,0.00002370462,0.00004314378,0.1258817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2156198,"threshold_uncertainty_score":0.7543665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05133896402986393,"score_gpt":0.3499496846080664,"score_spread":0.2986107205782024,"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."}}