{"id":"W6969307270","doi":"10.5683/sp2/n1f3st","title":"Contraception SL","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Focus (optics); Population; Advice (programming); Family planning; Spermicide","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":[0.0007693648,0.002004347,0.001123053,0.002910238,0.0007449471,0.002087981,0.002099325,0.002187121,0.1353301],"category_scores_gemma":[0.005841118,0.0005572716,0.001477173,0.003134299,0.0003339355,0.001668407,0.001651442,0.001646748,0.1486933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001701733,"about_ca_system_score_gemma":0.001982059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04360904,"about_ca_topic_score_gemma":0.1022678,"domain_scores_codex":[0.9990464,0.0001555784,0.00009574767,0.0003009393,0.0002323308,0.000169012],"domain_scores_gemma":[0.9979159,0.0005835759,0.0002105508,0.0005068274,0.0005858435,0.0001972082],"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":[0.000059043,0.00001171786,0.0009253105,0.0004124764,0.00001313582,0.00001527076,0.000008642445,0.0001612251,0.00005315296,0.0003056616,0.9936175,0.004416865],"study_design_scores_gemma":[0.0001204091,0.00002151558,0.004731183,0.0004520465,0.00002717848,0.0001115282,0.00007847611,0.0006076474,0.000339539,0.0009626521,0.9925242,0.00002364259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001946596,0.0001382907,0.00008652503,0.000146561,0.00006413049,0.00001262689,0.9956853,0.0005554166,0.003116391],"genre_scores_gemma":[0.0009670551,0.0001172693,0.000280844,0.0001684896,0.00002221169,0.00003542837,0.9959395,0.00009680576,0.002372453],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1353301,"threshold_uncertainty_score":0.4527243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02460902579998464,"score_gpt":0.2787951844252006,"score_spread":0.2541861586252159,"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."}}