{"id":"W7001348759","doi":"","title":"Joe Tilley's Great Canadian Sports Show | Ep 138 | Kerry Goulet: Stop Concussions","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Victory; Ice hockey; Honor; German; Passion; Elite; Football","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":[0.0002582747,0.0003934337,0.0004348423,0.0003026158,0.0002116857,0.0001837691,0.0006924062,0.0005163923,0.08926939],"category_scores_gemma":[0.00009859009,0.0003719564,0.0001621869,0.00003666435,0.0001665309,0.000001547691,0.000123397,0.0003877556,0.008986917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001287265,"about_ca_system_score_gemma":0.0003467897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08367201,"about_ca_topic_score_gemma":0.07922594,"domain_scores_codex":[0.9979481,0.00005635234,0.0005976398,0.0003628322,0.0005218929,0.0005131437],"domain_scores_gemma":[0.9982853,0.0000635469,0.0005400755,0.0005895384,0.0001835188,0.0003380391],"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":[0.000004859261,0.000008225535,0.000007363562,0.0001434204,0.000030848,0.00007405035,0.0001535048,0.00006398776,7.896615e-8,0.00008945158,0.9577465,0.04167768],"study_design_scores_gemma":[0.0002567686,0.000040662,0.00002755428,0.0004422722,0.00002770222,0.0003047744,0.00006435447,0.0002901256,0.000005432198,0.00002283799,0.9981035,0.0004140065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001079602,0.000261679,0.00002514893,0.0005235639,0.001564636,0.0002849272,0.00009625292,0.0007595217,0.9964735],"genre_scores_gemma":[0.0006448075,0.0002685009,0.003453238,0.000317647,0.0002160805,0.00001522553,0.00006140166,0.0001717392,0.9948514],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08028247,"threshold_uncertainty_score":0.9998732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005516073890842462,"score_gpt":0.1799926976949466,"score_spread":0.1744766238041041,"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."}}