{"id":"W4249207103","doi":"10.1515/iupac.88.1398","title":"Telophase","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Computer science; Linguistics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001312985,0.001660602,0.001615866,0.004599852,0.0009250129,0.003924795,0.002277093,0.001660204,0.2352524],"category_scores_gemma":[0.009949571,0.0007304797,0.001459233,0.007801739,0.0004669546,0.002607296,0.00299328,0.001836612,0.298942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363245,"about_ca_system_score_gemma":0.003169673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01107451,"about_ca_topic_score_gemma":0.02148435,"domain_scores_codex":[0.9982796,0.0002655529,0.0003764296,0.0005266559,0.0003448756,0.0002069823],"domain_scores_gemma":[0.9964001,0.001065473,0.0004405997,0.0009266863,0.0009079669,0.0002592295],"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":[0.0001317656,0.00001353997,0.0007384728,0.002482751,0.00003413923,0.00003507392,0.00004956775,0.0001268244,0.0002330493,0.001047712,0.9882143,0.006892688],"study_design_scores_gemma":[0.00008563497,0.00001017211,0.00158164,0.0005306042,0.00001745078,0.00004531838,0.0000463726,0.00007948816,0.0002240627,0.00103153,0.9963302,0.00001762973],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005692926,0.0001062442,0.0001025131,0.00006096533,0.00002461796,0.00002075555,0.9976508,0.000447251,0.0015299],"genre_scores_gemma":[0.0002561757,0.0001492791,0.0003544363,0.0001054627,0.00000936839,0.0001126279,0.9973235,0.0001783481,0.001510921],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2352524,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218387770625706,"score_gpt":0.4192514940389651,"score_spread":0.407067616332708,"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."}}