{"id":"W1978377575","doi":"10.1093/bioinformatics/btp280","title":"ISMB/ECCB 2009 Stockholm","year":2009,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Library science","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":[0.0004105692,0.0002553893,0.0002187579,0.0001276572,0.00014717,0.0001005252,0.0005197119,0.0003014597,0.0000681159],"category_scores_gemma":[0.0002804043,0.0002142138,0.0001492016,0.0001979924,0.0001614026,0.00001706827,0.0001480062,0.0001922871,0.000431146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002369659,"about_ca_system_score_gemma":0.0001670831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004817774,"about_ca_topic_score_gemma":0.000006127233,"domain_scores_codex":[0.9979951,0.00002476146,0.0006106192,0.0001889214,0.000547101,0.000633442],"domain_scores_gemma":[0.9986882,0.00001440036,0.0001467229,0.0006164885,0.0001779768,0.00035627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002169168,0.0004452869,0.0006450715,0.0002294213,0.0001318466,0.00001078314,0.00106767,0.00008190564,0.04421017,0.0008378171,0.3783195,0.5738036],"study_design_scores_gemma":[0.002466107,0.003593955,0.008620336,0.00007836,0.00004909557,0.0001003979,0.001279646,0.01787808,0.05697156,0.0008825177,0.9068378,0.001242208],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5676994,0.003026707,0.1212613,0.00699148,0.002287049,0.00300252,0.0004993816,0.0004272403,0.294805],"genre_scores_gemma":[0.9049805,0.002219274,0.07156744,0.009527089,0.001275429,0.00002407549,0.0009607645,0.00005029759,0.00939515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5725614,"threshold_uncertainty_score":0.8735385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01632350810071778,"score_gpt":0.280095584216443,"score_spread":0.2637720761157253,"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."}}