{"id":"W1513053121","doi":"","title":"The Oslerian impulse","year":2002,"lang":"en","type":"article","venue":"PubMed Central","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Impulse (physics); Art history; Library science; Art; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005910949,0.00004144102,0.00005084848,0.00001333861,0.0008774002,0.0002245797,0.000289023,0.00001545471,0.0003879764],"category_scores_gemma":[0.0002590534,0.00002791263,0.00005933959,0.0001396811,0.0001504056,0.0001359236,0.00003109685,0.00006088483,0.00006101942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005045025,"about_ca_system_score_gemma":0.00001566629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003316553,"about_ca_topic_score_gemma":0.002748536,"domain_scores_codex":[0.9985164,0.0001024988,0.00008625272,0.00009821788,0.0002003497,0.0009963034],"domain_scores_gemma":[0.9995005,0.00007610285,0.00002868922,0.0001336059,0.000006906996,0.0002541617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002182083,0.0000386904,0.02883481,0.000001049147,0.00003319489,0.000004986424,0.008392414,0.000005318464,0.000009607012,0.04933986,0.03840996,0.8749279],"study_design_scores_gemma":[0.00005084655,0.000001473925,0.1008282,0.000001047511,0.000008234852,1.966159e-7,0.0009687303,0.0001800528,0.000006510263,0.0004842549,0.8974156,0.00005481688],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3395125,0.0009698441,0.0001961579,0.02939778,0.002402005,0.000426692,0.00002452368,0.0001586174,0.6269119],"genre_scores_gemma":[0.9906855,0.000529819,0.00002955049,0.0001631457,0.0007540036,0.00001653459,0.000002204843,0.000003545981,0.007815691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8748731,"threshold_uncertainty_score":0.6748342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259048866409639,"score_gpt":0.2431140215245733,"score_spread":0.2205235328604769,"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."}}