{"id":"W7068741219","doi":"","title":"Leaky Condo 2.0","year":2019,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Negotiation; Rhetoric; Process (computing); Narrative; Sustainability; Status quo; Agency (philosophy); Product (mathematics); Contingency; Foundation (evidence); Face (sociological concept)","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":[0.001971207,0.001118343,0.0007146186,0.001847267,0.003740653,0.009494937,0.00291932,0.002763221,0.3554187],"category_scores_gemma":[0.007071558,0.0008891654,0.0008373209,0.00179852,0.001828313,0.007934311,0.00643752,0.002807324,0.1910679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002139068,"about_ca_system_score_gemma":0.005567987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0344131,"about_ca_topic_score_gemma":0.05453261,"domain_scores_codex":[0.9978884,0.0002204465,0.0000740766,0.0003085778,0.001096935,0.0004116083],"domain_scores_gemma":[0.9968004,0.0003181861,0.0001081328,0.0008977651,0.001243933,0.0006316341],"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":[0.0004234101,0.000112148,0.001455892,0.0005323506,0.00001831473,0.0005272535,0.001251022,0.0007562246,0.001880283,0.09964953,0.765018,0.1283755],"study_design_scores_gemma":[0.00002054441,0.00002163655,0.0003187325,0.0001510161,0.000004731361,0.0001447288,0.0002564666,0.0006409414,0.0005552234,0.004280178,0.9935716,0.00003418569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004705654,0.0009826295,0.02039669,0.002707131,0.001720892,0.0004105697,0.00518674,0.04913619,0.9147536],"genre_scores_gemma":[0.04067858,0.001357512,0.01961502,0.001767365,0.0004392157,0.0004806502,0.01272411,0.03592018,0.8870174],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3554187,"threshold_uncertainty_score":0.919417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003408860032081901,"score_gpt":0.1692215091462147,"score_spread":0.1658126491141328,"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."}}