{"id":"W2599021036","doi":"","title":"Patti Pella: “Someone knows your life story”","year":2014,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"NOSM University","funders":"","keywords":"Computer science; World Wide Web; Data science; Bioinformatics; Medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001931887,0.0003331029,0.0004662209,0.0004473832,0.0009156859,0.0001531478,0.0003925546,0.00007633729,0.0003701443],"category_scores_gemma":[0.0000348773,0.0003448018,0.0002450748,0.0001491347,0.0004159031,0.0002754921,0.0000197198,0.0003555978,0.003293136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004913697,"about_ca_system_score_gemma":0.0005116138,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03162156,"about_ca_topic_score_gemma":0.235869,"domain_scores_codex":[0.9981507,0.0001808029,0.0002641745,0.0004598994,0.00027981,0.0006646341],"domain_scores_gemma":[0.9981997,0.00004735338,0.0001410367,0.0005790552,0.0002129226,0.0008199041],"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":[0.00001054792,0.00007964643,0.00007397091,0.00004198997,0.0002078126,0.00002073106,0.01402593,0.00003279431,0.0004730084,0.07043896,0.879133,0.03546164],"study_design_scores_gemma":[0.0002461829,0.00009355742,0.0006490228,0.0000225253,0.00008127715,7.570423e-8,0.009884102,0.0001678816,0.00002211865,0.0005521678,0.987825,0.000456121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05810003,0.002206192,0.00002050142,0.001696934,0.001498414,0.0002225312,0.0001740698,0.0001183858,0.9359629],"genre_scores_gemma":[0.9136265,0.00001191115,0.00001878447,0.06027032,0.003273025,0.00002232147,0.00006962317,0.0000769418,0.02263057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9133323,"threshold_uncertainty_score":0.9999004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03709953865118037,"score_gpt":0.2143322179600276,"score_spread":0.1772326793088472,"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."}}