{"id":"W6923407678","doi":"10.14288/1.0216279","title":"$20 even money to Winnipeg","year":2015,"lang":"en","type":"other","venue":"Open Collections","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Reproduction; Payment; Order (exchange)","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002780671,0.0003717833,0.0005219018,0.0005425865,0.0008844256,0.001265686,0.001115342,0.0003169511,0.04039026],"category_scores_gemma":[0.000179903,0.0003995182,0.00007852091,0.004264325,0.00004467458,0.00010625,0.00063588,0.0002926635,0.04002031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006106754,"about_ca_system_score_gemma":0.001116224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06797463,"about_ca_topic_score_gemma":0.1755953,"domain_scores_codex":[0.9981756,0.0001381252,0.0002395234,0.0006304764,0.0004065547,0.0004097524],"domain_scores_gemma":[0.9982055,0.0000249522,0.0001645487,0.0009729183,0.0001835384,0.0004484938],"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":[0.00003349436,0.0001315588,0.000001916595,0.000005028361,0.0001742775,0.000007486236,0.00006848781,0.00003474118,0.0000349188,0.00001114054,0.9994529,0.00004404503],"study_design_scores_gemma":[0.0005938801,0.0001019985,0.000002962469,0.0001276839,0.000096529,0.00001978129,0.00006282643,0.0000116331,0.00001072056,0.0003088057,0.998167,0.0004961914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[1.424114e-7,0.0001301156,0.00004471702,0.0001763821,0.0009127061,0.002872001,0.004313349,0.0005430739,0.9910075],"genre_scores_gemma":[0.000001286712,0.000005149589,0.002689725,0.0001895843,0.0005993521,0.0009437584,0.0002841389,0.002002786,0.9932842],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1076206,"threshold_uncertainty_score":0.9998457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03632085963969993,"score_gpt":0.3101154948995901,"score_spread":0.2737946352598901,"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."}}