{"id":"W7017889293","doi":"","title":"Ban Conversion Therapy","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Action (physics); Legislation; MEDLINE; Product (mathematics)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001115663,0.0003008718,0.0002870755,0.00003815493,0.00004090048,0.00002887675,0.0003458002,0.0004715399,0.1858743],"category_scores_gemma":[0.0001051654,0.0002890516,0.0001571267,0.000005344755,0.0001011681,1.309851e-8,0.0001288815,0.0002257503,0.006177476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001075277,"about_ca_system_score_gemma":0.00003294346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007162173,"about_ca_topic_score_gemma":0.00009071629,"domain_scores_codex":[0.998865,0.00005710224,0.000427217,0.0001742986,0.0002698847,0.0002064672],"domain_scores_gemma":[0.9989367,0.00001668749,0.0005007607,0.0003697386,0.000067261,0.0001088135],"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":[0.0001044906,0.00001811686,0.00001015494,0.0002837485,0.00007714977,0.000002752676,0.00005133538,0.00005848854,0.00001460331,0.000007740915,0.9980103,0.001361092],"study_design_scores_gemma":[0.0006272364,0.0003401822,0.000007772544,0.00006777771,0.00001777735,0.00002439671,0.00003331969,0.00004047217,0.0002576075,7.681587e-7,0.9982813,0.000301407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000662079,0.000421821,0.000002283959,0.0002020267,0.0002114811,0.000321019,0.00009307135,0.00008345878,0.9985986],"genre_scores_gemma":[0.0008164813,0.001027535,0.001913399,0.001015616,0.0002290458,0.00000668373,0.0008519912,0.0001281932,0.994011],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1796968,"threshold_uncertainty_score":0.9999562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00474331054180973,"score_gpt":0.1887870671564841,"score_spread":0.1840437566146744,"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."}}