{"id":"W2943004441","doi":"10.1136/sbmj.0603130b","title":"Our attitudes towards patients","year":2006,"lang":"en","type":"article","venue":"BMJ","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Data science; Computer science; World Wide Web; Text mining; Medicine; Information retrieval; Natural language processing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01859824,0.000385439,0.0004962556,0.001387113,0.01609844,0.01187389,0.001618816,0.006938031,0.03674141],"category_scores_gemma":[0.06023709,0.0004162099,0.0007801095,0.001498267,0.01355332,0.005890119,0.00848106,0.01288343,0.004121151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009612284,"about_ca_system_score_gemma":0.01029545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007560074,"about_ca_topic_score_gemma":0.00891732,"domain_scores_codex":[0.9697685,0.0175434,0.0009914255,0.001342199,0.007363897,0.002990518],"domain_scores_gemma":[0.9454345,0.01339241,0.006401835,0.001992679,0.009041992,0.02373656],"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":[0.0001416167,0.0007121377,0.0794587,0.0007436075,0.0001425865,0.00285328,0.2341304,0.000239521,0.001052123,0.04847253,0.546573,0.08548043],"study_design_scores_gemma":[0.00006849862,0.0004063628,0.01841481,0.001352743,0.00005414178,0.004772343,0.2169898,0.0001478202,0.0002524897,0.01146632,0.7459136,0.0001609998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.131556,0.007012391,0.001076857,0.7335564,0.006279193,0.00009053332,0.0001930991,0.0001417603,0.1200937],"genre_scores_gemma":[0.5433406,0.006826726,0.0008327432,0.410161,0.003374639,0.0001318357,0.0001269131,0.0001541987,0.03505126],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03674141,"threshold_uncertainty_score":0.1229122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0854606408436792,"score_gpt":0.482659536612375,"score_spread":0.3971988957686958,"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."}}