{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003752971,0.001283352,0.000602514,0.001835877,0.00246583,0.004148213,0.0006373379,0.0009304832,0.5678387],"category_scores_gemma":[0.001221823,0.0004491108,0.000280639,0.003155062,0.0005827264,0.002582157,0.001194191,0.001179912,0.530457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002267753,"about_ca_system_score_gemma":0.003603545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05157635,"about_ca_topic_score_gemma":0.1966266,"domain_scores_codex":[0.9998272,0.00001480991,0.00001322146,0.00004077621,0.00007111688,0.00003289397],"domain_scores_gemma":[0.9995186,0.00006047661,0.00005500973,0.00006625821,0.0001736589,0.0001259609],"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":[0.00001768711,0.00001276382,0.0001603307,0.00006842759,0.000001159223,0.00002709838,0.00003495279,0.00003232201,0.000123997,0.0005785418,0.9442459,0.05469678],"study_design_scores_gemma":[0.000002533539,0.000004412464,0.0008162308,0.00007494964,0.000001674909,0.00002395521,0.00007679708,0.00002116563,0.00009310383,0.0002790153,0.9986023,0.000003807811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001272509,0.01608126,0.001234449,0.005757533,0.004456891,0.0001030124,0.02072959,0.001840841,0.9485239],"genre_scores_gemma":[0.00134736,0.006013114,0.0004404995,0.000421722,0.0002268038,0.00002942238,0.002508264,0.0002908815,0.988722],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5678387,"threshold_uncertainty_score":0.6164256,"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."}}