{"id":"W120161666","doi":"10.1016/j.fertnstert.2014.05.045","title":"Introduction","year":2014,"lang":"en","type":"article","venue":"Fertility and Sterility","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001190087,0.0004913856,0.0002582683,0.001022527,0.001267194,0.002884056,0.001185166,0.001256335,0.3918632],"category_scores_gemma":[0.00370545,0.0001525821,0.0004338488,0.0008586015,0.0006884706,0.00116396,0.002101598,0.001257498,0.2089595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120229,"about_ca_system_score_gemma":0.002838554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002826459,"about_ca_topic_score_gemma":0.003665822,"domain_scores_codex":[0.9990723,0.0001570433,0.00003716886,0.0001931587,0.0003965987,0.0001437584],"domain_scores_gemma":[0.9985439,0.0002107258,0.00007235831,0.0001865144,0.0006453705,0.0003411554],"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":[0.0001405801,0.000108072,0.002249095,0.0002970395,0.000008147997,0.0003360653,0.0004839956,0.0001178893,0.001002848,0.05586444,0.4875771,0.4518147],"study_design_scores_gemma":[0.000006969176,0.0000210107,0.0006480413,0.00009839072,0.000002803995,0.0001868827,0.0001407851,0.00002748333,0.0002315889,0.003046372,0.9955852,0.000004419999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.004551136,0.002668513,0.008462287,0.01147093,0.005378049,0.0003240488,0.003966174,0.001069925,0.962109],"genre_scores_gemma":[0.0264423,0.002721185,0.007600038,0.009345292,0.00131229,0.0003553341,0.004511817,0.0003803655,0.9473315],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.3918632,"threshold_uncertainty_score":0.8674333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02012036079370054,"score_gpt":0.2718967994044542,"score_spread":0.2517764386107537,"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."}}