{"id":"W1964512858","doi":"10.1136/bmj.326.7388.554/d","title":"Ranger Michael Whelan","year":2003,"lang":"de","type":"article","venue":"BMJ","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005690915,0.0006328709,0.0003576434,0.001035934,0.001503358,0.001785301,0.0009056876,0.001670307,0.4049066],"category_scores_gemma":[0.004124196,0.00035377,0.0002422319,0.0004144214,0.0005752693,0.001488193,0.001859168,0.002581146,0.1678831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168168,"about_ca_system_score_gemma":0.001759064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006327303,"about_ca_topic_score_gemma":0.01265327,"domain_scores_codex":[0.9993207,0.00007121242,0.00002771508,0.0001795957,0.0002731703,0.0001275166],"domain_scores_gemma":[0.9982499,0.0001279706,0.00008533354,0.00005593024,0.0004995764,0.0009812904],"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":[0.00001738243,0.000009156876,0.0001604747,0.00004284705,0.000001084418,0.0001861795,0.00004150274,0.00001354444,0.00007130971,0.0007860506,0.9559329,0.04273769],"study_design_scores_gemma":[0.000004799722,0.00001569446,0.0004534556,0.0000935065,0.000001165265,0.000788417,0.0001180385,0.00001190587,0.00004005634,0.0002259624,0.9982426,0.00000429352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002673514,0.04920106,0.00159329,0.2015987,0.05507377,0.0001617946,0.001132587,0.0009875633,0.6875778],"genre_scores_gemma":[0.006870131,0.01206289,0.0003998429,0.02544744,0.003741322,0.00004658424,0.0002931263,0.0001760947,0.9509624],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4049066,"threshold_uncertainty_score":0.8488286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04881797378635567,"score_gpt":0.2641835003683799,"score_spread":0.2153655265820242,"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."}}