{"id":"W7071021877","doi":"","title":"1 Second From Every Episode Of Hilda","year":2020,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Term (time); Table (database)","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":[0.0005828647,0.0009107079,0.0006711531,0.001318289,0.003455118,0.005584613,0.000807434,0.001856807,0.5937915],"category_scores_gemma":[0.003486458,0.0004158036,0.0005542028,0.001023631,0.0004204832,0.002349393,0.00405533,0.003148027,0.4875957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007953729,"about_ca_system_score_gemma":0.0007891192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005114326,"about_ca_topic_score_gemma":0.01759675,"domain_scores_codex":[0.999557,0.00005721057,0.00001499702,0.00006435382,0.0001992669,0.0001071897],"domain_scores_gemma":[0.9985539,0.0001276003,0.00005290917,0.0001499599,0.0003665311,0.0007491632],"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":[0.00002835199,0.000006853504,0.00006155684,0.00001952711,0.000001446905,0.00002645951,0.00003945857,0.000004995063,0.00007135218,0.0004950882,0.9894582,0.009786583],"study_design_scores_gemma":[0.000004407416,0.000006790264,0.0003305126,0.00003238997,0.000001300843,0.00003685838,0.0001137687,0.0000181946,0.00004675921,0.0002025128,0.999203,0.000003512719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002880469,0.003059509,0.001523069,0.02511727,0.04713628,0.0002475993,0.008594802,0.005473765,0.9059672],"genre_scores_gemma":[0.004266458,0.0005499895,0.0005022995,0.004848049,0.002778812,0.0000602559,0.002336361,0.001153739,0.9835041],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4062085,"threshold_uncertainty_score":0.5794071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006701821758102097,"score_gpt":0.2266485617556064,"score_spread":0.2199467399975043,"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."}}