{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002749043,0.0005349684,0.0006340572,0.0007787369,0.003647976,0.003203735,0.001674555,0.005497588,0.3873977],"category_scores_gemma":[0.007239882,0.0002345416,0.001000799,0.0005363909,0.001600384,0.001834817,0.004961447,0.00861078,0.1289712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00188126,"about_ca_system_score_gemma":0.003966495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00787778,"about_ca_topic_score_gemma":0.02139489,"domain_scores_codex":[0.9980738,0.0004344718,0.0000726389,0.0002666178,0.0006048446,0.000547521],"domain_scores_gemma":[0.9957542,0.0008926976,0.0001625388,0.0004085017,0.00071311,0.002068893],"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":[0.0001402,0.0001826866,0.0003345096,0.00009793675,0.000008585272,0.0003239153,0.0001130494,0.00002973751,0.0003174783,0.008499043,0.8888656,0.1010873],"study_design_scores_gemma":[0.00003618735,0.00003717827,0.000487315,0.0001126929,0.000004440738,0.0002777407,0.0001025193,0.00002218096,0.0001213283,0.001820672,0.99697,0.000007747733],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003190132,0.007156334,0.003353855,0.09021769,0.02059944,0.0002365827,0.001181414,0.001429635,0.8726349],"genre_scores_gemma":[0.01731474,0.004115733,0.002070073,0.110328,0.003575682,0.0002591873,0.001267004,0.0007374508,0.8603322],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3873977,"threshold_uncertainty_score":0.8738028,"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."}}