{"id":"W7005111838","doi":"","title":"Poster Competition Abstract Booklet 2017","year":2017,"lang":"en","type":"article","venue":"oURspace (University of Regina)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Firefly protocol; Recreation; Recreational Drug; Competition (biology); Taiga; Monoculture; Bestiary; Depiction; Creatures","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":[0.000104859,0.00007815202,0.00009735915,0.00003013076,0.000292107,0.00002603865,0.0003861931,0.0001000936,0.0000104609],"category_scores_gemma":[0.00004134668,0.00009535029,0.00007065746,0.00001019714,0.0001865173,0.00001677863,0.0001688846,0.00008724871,0.00004771653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009188596,"about_ca_system_score_gemma":0.0000290328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001212622,"about_ca_topic_score_gemma":0.00009747245,"domain_scores_codex":[0.999636,0.0000125838,0.000009243144,0.0001223647,0.00009747068,0.00012235],"domain_scores_gemma":[0.9990727,0.000004382876,0.0002428494,0.0005616927,0.00006672818,0.00005159406],"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":[0.0001264478,0.00002886497,0.0162375,0.0001000608,0.00008120864,0.00002796823,0.0001687137,0.0000573019,0.04484664,0.001541357,0.9348141,0.001969842],"study_design_scores_gemma":[0.0004507177,0.0001147472,0.04188061,0.00003064604,0.00001651749,0.00001521077,0.0002647088,0.000084361,0.001262671,0.000005135106,0.9557517,0.0001230101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6591352,0.0000434978,0.001571102,0.3049946,0.0001250835,0.00009875672,0.00001938872,0.0000150402,0.03399732],"genre_scores_gemma":[0.9202605,0.0001511431,0.003147853,0.00007069288,0.00007035644,8.488159e-8,0.0000709159,0.00001021551,0.07621825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3049239,"threshold_uncertainty_score":0.3888272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041536192039056,"score_gpt":0.2304681446743051,"score_spread":0.2200527827539145,"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."}}