{"id":"W7103480049","doi":"","title":"Texas Alcoholic Beverage Comission Fourth Quarter Performance Measure","year":2015,"lang":"en","type":"report","venue":"The Portal to Texas History (University of North Texas)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Quarter (Canadian coin); Performance measurement; Bottling line","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":[],"consensus_categories":[],"category_scores_codex":[0.002660227,0.000773791,0.0002954637,0.006409333,0.0009086623,0.002146708,0.0008849706,0.000471764,0.01509233],"category_scores_gemma":[0.005887744,0.0003711932,0.0002998126,0.007705131,0.0002144274,0.001230586,0.001052369,0.0008447148,0.01004805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005714191,"about_ca_system_score_gemma":0.008941622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1084262,"about_ca_topic_score_gemma":0.109865,"domain_scores_codex":[0.9975007,0.0001984932,0.0001253573,0.0001044244,0.001816273,0.000254777],"domain_scores_gemma":[0.9887178,0.0004745582,0.001145741,0.0003874186,0.008596692,0.0006778492],"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":[0.00007292041,0.0001436093,0.02059318,0.00005026312,0.00002202998,0.0000143386,0.00006112738,0.0005836237,0.0001551059,0.002136771,0.9646412,0.01152565],"study_design_scores_gemma":[0.00006759187,0.0001795887,0.3379676,0.0001467397,0.00006098106,0.00004507281,0.0008844315,0.002918368,0.003216048,0.001098087,0.653361,0.00005451143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.07449996,0.001007001,0.002755907,0.004762001,0.00117126,0.0006562527,0.6511514,0.001472616,0.2625236],"genre_scores_gemma":[0.1548641,0.001313382,0.003762755,0.0007480598,0.0003651537,0.0007742969,0.5478059,0.0003762941,0.2899902],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1084262,"threshold_uncertainty_score":0.2155901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04702293097004341,"score_gpt":0.234128801076218,"score_spread":0.1871058701061746,"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."}}