{"id":"W1981408853","doi":"10.1136/bmj.38176.444745.63","title":"The learning curve","year":2004,"lang":"en","type":"letter","venue":"BMJ","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Computer science; Learning curve; Data science; Information retrieval","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":[0.01213951,0.0006595191,0.0008095094,0.001259202,0.004926684,0.005566361,0.002149405,0.01178375,0.02847919],"category_scores_gemma":[0.1137167,0.0004961168,0.001023476,0.0008908737,0.007095562,0.01147923,0.007073638,0.02106665,0.01366384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005995275,"about_ca_system_score_gemma":0.00686162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00191713,"about_ca_topic_score_gemma":0.003063373,"domain_scores_codex":[0.9821129,0.005710114,0.0008786202,0.001307,0.008022722,0.001968672],"domain_scores_gemma":[0.9367578,0.02547973,0.004591783,0.003602039,0.01161699,0.01795171],"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":[0.00009722825,0.0001619826,0.005620953,0.000215272,0.00002908694,0.003556436,0.001588189,0.0001533538,0.0001739726,0.0186555,0.8117809,0.157967],"study_design_scores_gemma":[0.0001246987,0.0004818325,0.005556022,0.001842325,0.00001969377,0.02895057,0.003900174,0.0004012695,0.0001570454,0.07327118,0.8851966,0.00009852597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.004449934,0.004643635,0.001282665,0.9435671,0.009379417,0.00003737683,0.00004067988,0.0001308697,0.03646832],"genre_scores_gemma":[0.09612772,0.009421963,0.001618301,0.8310083,0.03740558,0.0001726545,0.0001338547,0.000165474,0.02394625],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.02847919,"threshold_uncertainty_score":0.09527236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02339716552794483,"score_gpt":0.3214024481940647,"score_spread":0.2980052826661199,"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."}}