{"id":"W2031651733","doi":"10.1371/journal.pcbi.1000094","title":"ISMB 2008 Toronto","year":2008,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence","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":[0.001076706,0.001542557,0.0009728039,0.001813826,0.001993232,0.008133952,0.001910931,0.003900712,0.7182463],"category_scores_gemma":[0.002077455,0.0007451643,0.0008469417,0.002072087,0.0008101507,0.003179352,0.003257739,0.00276737,0.7295718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002980676,"about_ca_system_score_gemma":0.004739638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01902266,"about_ca_topic_score_gemma":0.02792135,"domain_scores_codex":[0.9987777,0.00011588,0.00007479227,0.0003444432,0.0005330104,0.0001541509],"domain_scores_gemma":[0.9982888,0.0001425525,0.00008451883,0.0003189631,0.0006715786,0.0004935889],"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":[0.00005070538,0.00002928563,0.0001149758,0.0002164549,0.000008008652,0.0001050092,0.00007646878,0.0001772415,0.001064245,0.008487644,0.8945754,0.09509457],"study_design_scores_gemma":[0.000004890211,0.000006046118,0.0001485987,0.0000502694,0.000001966909,0.00004610411,0.00003122766,0.00006797884,0.0001172397,0.0006963668,0.9988242,0.000005157758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008391737,0.006659383,0.005926829,0.009129013,0.006824432,0.0001802459,0.009455842,0.005712754,0.9552724],"genre_scores_gemma":[0.001952097,0.003552313,0.002313043,0.001250494,0.0004186756,0.00007314736,0.007413853,0.001194094,0.9818324],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2817537,"threshold_uncertainty_score":0.4018875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731762474359783,"score_gpt":0.2884386173152815,"score_spread":0.2611209925716836,"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."}}