{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001001601,0.0007223918,0.0007987037,0.0002603811,0.00001449874,0.00004811329,0.001402027,0.0003486656,0.01426347],"category_scores_gemma":[0.0001800936,0.000705794,0.0005004905,0.00006334743,0.0004121235,0.000005543184,0.001398192,0.0007703328,0.0008556369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001431579,"about_ca_system_score_gemma":0.00008805569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005896072,"about_ca_topic_score_gemma":0.01066666,"domain_scores_codex":[0.9972698,0.0002503849,0.0008027739,0.0008584478,0.000341572,0.0004770057],"domain_scores_gemma":[0.9978648,0.0001127434,0.0008193385,0.0009147528,0.00002655596,0.0002617926],"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":[0.0002672899,0.00007251026,0.001468394,0.0002712716,0.0008747364,0.00002266892,0.0007569503,0.00001046557,0.01000443,0.0002904003,0.9855223,0.0004386051],"study_design_scores_gemma":[0.000713639,0.0005517718,0.0005892455,0.0005374191,0.00008571458,0.00002216096,0.00002537005,0.001813751,0.01084293,0.0003403515,0.9838048,0.0006728368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00407242,0.0007425845,0.02380373,0.00008021625,0.0007012543,0.0005471,0.004073544,0.0001195895,0.9658596],"genre_scores_gemma":[0.02639799,0.0002018376,0.01561458,0.0008063513,0.001194414,0.00003704603,0.0074508,0.0006402117,0.9476568],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02232557,"threshold_uncertainty_score":0.9999223,"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."}}