{"id":"W6990342391","doi":"","title":"Denver CityCast | June 13, 2022","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"HERO; Set (abstract data type); Joins; Queen (butterfly)","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":[0.0004181769,0.0008334769,0.0006239794,0.0008311341,0.00181314,0.004925305,0.0008267632,0.002104968,0.7866715],"category_scores_gemma":[0.001455424,0.0004273576,0.0004810159,0.0009464893,0.0003259892,0.001526213,0.001992934,0.00233852,0.7356387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001357535,"about_ca_system_score_gemma":0.001477664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0244443,"about_ca_topic_score_gemma":0.1020841,"domain_scores_codex":[0.9996573,0.00002469548,0.00001202022,0.00005754294,0.0001611245,0.00008735377],"domain_scores_gemma":[0.9994436,0.0000382222,0.00002007851,0.00005193942,0.0002201112,0.0002260397],"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":[0.00001796366,0.000009298809,0.00004690721,0.00002113887,8.872262e-7,0.00001683932,0.000005976086,0.00001843577,0.00002986744,0.0005475332,0.9926434,0.006641761],"study_design_scores_gemma":[0.000005448654,0.0000042212,0.0002595794,0.0000264772,6.813113e-7,0.000005014334,0.00001612716,0.00002155539,0.00002115311,0.0001181586,0.9995195,0.000002157237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002245501,0.0005348744,0.000148171,0.001240598,0.003192492,0.0000578027,0.009255587,0.0008840254,0.9844619],"genre_scores_gemma":[0.0005570241,0.0001755128,0.00004299637,0.0004440484,0.0001686217,0.00001787663,0.002292763,0.0002244847,0.9960766],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7866715,"threshold_uncertainty_score":0.3042873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008717199664091378,"score_gpt":0.1670307382570924,"score_spread":0.158313538593001,"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."}}