{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002750311,0.001717523,0.001182978,0.00237078,0.00171273,0.008800018,0.002302865,0.003073914,0.3707534],"category_scores_gemma":[0.003234837,0.0006388546,0.0009701627,0.001898792,0.0007674741,0.002705317,0.004840862,0.003271432,0.4052394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00299774,"about_ca_system_score_gemma":0.003856149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005059372,"about_ca_topic_score_gemma":0.00368598,"domain_scores_codex":[0.9972348,0.0002875959,0.0001604774,0.0007658845,0.001241415,0.0003098094],"domain_scores_gemma":[0.997337,0.000176016,0.0001093707,0.000622941,0.001145549,0.0006090484],"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":[0.00008603687,0.00005111488,0.0001226663,0.0001355971,0.000009326802,0.00007676845,0.0000167946,0.0003871401,0.0006746652,0.009153636,0.927706,0.06158024],"study_design_scores_gemma":[0.0000157448,0.00001345643,0.0003646763,0.00009690028,0.000004377242,0.00007381682,0.00001376227,0.0002417938,0.0004999157,0.002226713,0.9964375,0.00001131319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004452007,0.01813594,0.01215768,0.02083894,0.02675658,0.0003833271,0.02990292,0.007678684,0.8796938],"genre_scores_gemma":[0.01476794,0.008626182,0.01277146,0.003122689,0.002869563,0.0003928245,0.03459086,0.005111224,0.9177473],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6292466,"threshold_uncertainty_score":0.8975438,"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."}}