{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009874329,0.00002929031,0.0001245525,0.00001408969,0.0000609674,0.00002993725,0.0002433044,0.000106631,0.0002449417],"category_scores_gemma":[0.00002461135,0.0001110574,0.00008099937,0.00006743476,0.00009834908,0.000008798911,0.0001487258,0.0000840807,0.0001253431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009583676,"about_ca_system_score_gemma":0.00004312733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00753795,"about_ca_topic_score_gemma":0.02071273,"domain_scores_codex":[0.9994555,0.00002433142,0.00007784579,0.0001839401,0.0001122695,0.0001461834],"domain_scores_gemma":[0.9994923,0.000007138482,0.00008789497,0.0002773204,0.0000802777,0.00005506317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006212849,0.000188064,0.4158793,0.0003836828,0.0002060455,0.00004397805,0.000256224,0.0002750861,0.0643834,0.00001379659,0.05220636,0.4661019],"study_design_scores_gemma":[0.0009338707,0.0001867136,0.970924,0.00003540467,0.00001302639,0.00005025786,0.0004113034,0.0003863215,0.00003526903,0.00002413721,0.02682674,0.0001729626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830172,0.00007939141,0.0004018344,0.00003072337,0.0001008044,0.0001277621,0.00004059507,0.00001807321,0.0161836],"genre_scores_gemma":[0.9913196,0.00005568042,0.0009813651,0.00008628578,0.00002284959,1.036406e-7,0.00007173364,0.000009363902,0.007453017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5550447,"threshold_uncertainty_score":0.9990709,"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."}}