{"id":"W6986124642","doi":"","title":"Oklahoma Firefighter (Oklahoma City, Okla.), Vol. 26, No. 10, Ed. 1 Tuesday, December 1, 2009","year":2009,"lang":"en","type":"other","venue":"The Gateway to Oklahoma History","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Information system; Government (linguistics); Quarter (Canadian coin)","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0006744391,0.001425823,0.00106438,0.0004366045,0.0002846842,0.000100787,0.002157959,0.001464893,0.02131191],"category_scores_gemma":[0.0006105751,0.001185642,0.0006357101,0.0002423797,0.0004961862,0.00001481173,0.0008411152,0.001005059,0.01355769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004980424,"about_ca_system_score_gemma":0.0004627223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004615386,"about_ca_topic_score_gemma":0.0009452776,"domain_scores_codex":[0.9951351,0.0003271729,0.001022329,0.001295636,0.0009154927,0.001304261],"domain_scores_gemma":[0.9949422,0.00006332111,0.0008450159,0.003182163,0.000417784,0.0005494907],"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":[0.0002173465,0.0001657267,0.000110543,0.0001360498,0.0002393719,0.00002790544,0.0002567265,0.0000292162,0.00208911,0.00003456329,0.9926482,0.004045192],"study_design_scores_gemma":[0.0008566264,0.000658946,0.0005130342,0.0002347311,0.0001768168,0.00008826921,0.00001602498,0.00009760119,0.0007012449,0.00003275113,0.995084,0.001539894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002079031,0.01592435,0.0002454648,0.0005679083,0.004849087,0.001471015,0.0001957575,0.0007075522,0.9739598],"genre_scores_gemma":[0.00105093,0.0007523281,0.00261675,0.005155191,0.004386342,0.0001393172,0.0006614693,0.001209451,0.9840282],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01517203,"threshold_uncertainty_score":0.9998492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007588765836207091,"score_gpt":0.226574983372922,"score_spread":0.2189862175367149,"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."}}