{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001185315,0.001336906,0.0009308272,0.001528368,0.001783306,0.00448866,0.001592109,0.002904831,0.8986301],"category_scores_gemma":[0.002764631,0.0005023796,0.001197782,0.000947425,0.0003557022,0.002185255,0.003006589,0.002387119,0.7754318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003301,"about_ca_system_score_gemma":0.001390743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001739514,"about_ca_topic_score_gemma":0.004183168,"domain_scores_codex":[0.9993395,0.00007338314,0.00003645605,0.0001076253,0.0003261624,0.0001168366],"domain_scores_gemma":[0.9978839,0.0002526952,0.00007128432,0.0001292967,0.0009183554,0.0007444851],"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":[0.0000904187,0.00006195108,0.00005756584,0.00008941721,0.000002249619,0.00004848135,0.00001372176,0.00003796456,0.0001758092,0.000513147,0.9730171,0.02589215],"study_design_scores_gemma":[0.00003923683,0.00006422574,0.0003034048,0.00007369439,0.000002234725,0.00005356961,0.00004431422,0.00006853154,0.0001449336,0.0006494639,0.9985499,0.000006487356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001213592,0.001603791,0.001718175,0.009285951,0.04563354,0.001179543,0.01024402,0.002443656,0.9266777],"genre_scores_gemma":[0.002217046,0.0006208237,0.0004094663,0.001296197,0.00435309,0.0002019313,0.003145596,0.0005225347,0.9872333],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1013699,"threshold_uncertainty_score":0.1445917,"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."}}