{"id":"W7096927859","doi":"","title":"Reason for posting: The Evra contra-","year":2016,"lang":"en","type":"article","venue":"","topic":"Reproductive Health and Contraception","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food and drug administration; Estrogen; Adverse effect; Drug; Family planning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002865024,0.00004380634,0.00008132918,0.00001112963,0.00005955296,0.000003800028,0.00002573908,0.00002726276,0.0001408809],"category_scores_gemma":[0.0006996366,0.00001653887,0.00003956453,0.00002795252,0.00002923774,0.00003195067,0.000003495622,0.00002879289,0.00005428664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002303986,"about_ca_system_score_gemma":0.00004836154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001852948,"about_ca_topic_score_gemma":0.000005785167,"domain_scores_codex":[0.9995272,0.00001490261,0.00009788503,0.0001383547,0.00007278447,0.0001489084],"domain_scores_gemma":[0.9994205,0.0001634854,0.00002940673,0.0001987463,0.000128881,0.00005899667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001315804,0.00007655605,0.01415743,0.00005268071,0.00003158147,0.000001649281,0.0001218128,4.947156e-8,0.106484,0.02493341,0.04120959,0.8116154],"study_design_scores_gemma":[0.005646187,0.001079979,0.3187111,0.0001441021,0.00008890236,0.00008587057,0.0002368824,0.00008926085,0.02149498,0.004007458,0.6482767,0.0001386206],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5526278,0.0009423103,0.03173127,0.3715589,0.0005007449,0.002682749,0.000006964407,0.0001599619,0.0397893],"genre_scores_gemma":[0.9796757,0.00003582665,0.0003822495,0.002184447,0.0007461252,0.00006817777,0.000001521622,0.000006831198,0.01689915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8114768,"threshold_uncertainty_score":0.1542547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03349497719435663,"score_gpt":0.3279883619276758,"score_spread":0.2944933847333192,"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."}}