{"id":"W7042342636","doi":"","title":"Oklahoma Firefighter (Oklahoma City, Okla.), Vol. 34, No. 9, Ed. 1 Wednesday, November 1, 2017","year":2017,"lang":"en","type":"other","venue":"The Gateway to Oklahoma History","topic":"Engineering and Material Science Research","field":"Materials Science","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002096087,0.001219491,0.001314478,0.0005846096,0.0008332573,0.000531161,0.005175392,0.0008471967,0.04393433],"category_scores_gemma":[0.000788074,0.0009133653,0.0004147456,0.0002059011,0.001347322,0.0003432444,0.001605694,0.0008049234,0.03919657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597647,"about_ca_system_score_gemma":0.0007261612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009075014,"about_ca_topic_score_gemma":0.001959729,"domain_scores_codex":[0.9931929,0.0002969823,0.0007012057,0.001813397,0.001879216,0.002116267],"domain_scores_gemma":[0.9934993,0.0001720905,0.0006790768,0.004316939,0.0004049366,0.0009276757],"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":[0.00008372224,0.0001022614,0.00001162813,0.0002017591,0.00004220806,0.0001117027,0.000299984,0.000009991161,0.07497108,0.0001287115,0.9232821,0.0007548158],"study_design_scores_gemma":[0.000517058,0.0001872277,0.000234913,0.0006344068,0.00007038971,0.0000554484,0.00001520229,0.00003480198,0.004289609,0.000061412,0.9926315,0.001268026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005212996,0.007733843,0.0001123741,0.0007111715,0.05215058,0.001733785,0.0004690953,0.001427233,0.9304489],"genre_scores_gemma":[0.003017904,0.0006213242,0.0006325486,0.0005162944,0.005253074,0.0003555547,0.00005513187,0.0007799616,0.9887682],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07068147,"threshold_uncertainty_score":0.9993317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02826672235004933,"score_gpt":0.2687151750916246,"score_spread":0.2404484527415753,"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."}}