{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001058962,0.000133489,0.000146276,0.00003455524,0.0001383906,0.000008057095,0.0002442421,0.0001899242,0.0001958994],"category_scores_gemma":[0.0001735,0.0001156104,0.00007562638,0.00005221089,0.0003454562,0.00000424445,0.0001523943,0.00007926804,0.0001682368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002514361,"about_ca_system_score_gemma":0.0001780999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000406742,"about_ca_topic_score_gemma":0.00003619752,"domain_scores_codex":[0.9988975,0.00005847154,0.0002650728,0.0002588962,0.0002027845,0.0003172707],"domain_scores_gemma":[0.9993591,0.00004601257,0.00005793741,0.0001799782,0.0002000452,0.0001568715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008161782,0.002183061,0.0640346,0.0002249681,0.001317082,0.00006669477,0.001287119,0.002015706,0.5900103,0.007120607,0.2764717,0.05445188],"study_design_scores_gemma":[0.006129198,0.006332606,0.1046016,0.00004805831,0.00006507284,0.0006719456,0.0004690737,0.02924584,0.09526128,0.01237371,0.7425593,0.002242353],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644346,0.002088273,0.01797149,0.0009800355,0.0004092571,0.0003519072,0.0001220069,0.00005035046,0.0135921],"genre_scores_gemma":[0.9867115,0.0007115999,0.009162907,0.001037176,0.0004408695,0.0000178891,0.00100006,0.0000133739,0.000904605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4947491,"threshold_uncertainty_score":0.4714453,"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."}}