{"id":"W2048368101","doi":"10.1017/s0007087405007582","title":"Examples and experience: on the uncertainty of medicine","year":2006,"lang":"en","type":"article","venue":"The British Journal for the History of Science","topic":"History of Medicine Studies","field":"Arts and Humanities","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Hippocratic Oath; Argument (complex analysis); Invective; Rhetorical question; Analogy; Set (abstract data type); Epistemology; Medical practice; Rhetoric; Philosophy; Classics; Medicine; Law; Medical education; History; Political science; Theology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002588385,0.00008032225,0.0001751958,0.00005327173,0.003811139,0.00004034006,0.0006890259,0.000008943594,0.0003155357],"category_scores_gemma":[0.0004558513,0.00003750055,0.00005164023,0.00004310666,0.03233007,0.0001140257,0.00004015715,0.000167058,9.244879e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001460187,"about_ca_system_score_gemma":0.0001154805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002679663,"about_ca_topic_score_gemma":0.001006216,"domain_scores_codex":[0.9987893,0.00005277018,0.0002934211,0.0001134043,0.0005736091,0.0001775408],"domain_scores_gemma":[0.9985225,0.0007152391,0.0002804032,0.0001711796,0.0002789127,0.00003173286],"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":[0.0000618471,0.00004469818,0.00001613308,0.00002831462,0.00002199467,0.000004654421,0.1811861,0.00005450763,0.001902193,0.1359421,0.6610274,0.01971006],"study_design_scores_gemma":[0.0003109644,0.0002284146,0.000642109,0.0002605445,0.0000345345,0.0001346881,0.04267924,0.00005770745,0.00002843898,0.005789056,0.9497705,0.00006384176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7446017,0.1018931,0.00008815904,0.02046802,0.01280267,0.0007763063,0.0000289688,0.00002837202,0.1193127],"genre_scores_gemma":[0.9723477,0.0005269445,0.00001621554,0.0004988679,0.0007267934,0.00001208324,1.673457e-7,0.000006481381,0.02586475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.288743,"threshold_uncertainty_score":0.9974858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06865961120301389,"score_gpt":0.2585458453181171,"score_spread":0.1898862341151032,"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."}}