{"id":"W7067838894","doi":"","title":"NHL analyst Darren Dreger","year":2024,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Noise (video); Context (archaeology); Power (physics)","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":[0.001677457,0.000547075,0.0004500177,0.0009941411,0.002991126,0.004119883,0.0008900211,0.003237638,0.2909799],"category_scores_gemma":[0.009476193,0.0003689619,0.0003402882,0.0005280653,0.0007637678,0.002459585,0.002566864,0.005723404,0.1776798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003081399,"about_ca_system_score_gemma":0.005759477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02546987,"about_ca_topic_score_gemma":0.05518162,"domain_scores_codex":[0.998351,0.0001733307,0.00004052854,0.0002366243,0.0009145202,0.0002840096],"domain_scores_gemma":[0.9951341,0.0006207892,0.0001116275,0.0001557904,0.002236379,0.001741326],"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":[0.000002847977,0.000001456173,0.00001662403,0.000003208394,1.632416e-7,0.000009390131,0.000009101271,0.000002896774,0.000009524352,0.0004944879,0.9961111,0.003339094],"study_design_scores_gemma":[0.00000176868,0.000002296782,0.00006407557,0.00001378462,3.852158e-7,0.00003005663,0.00008364867,0.000009124887,0.00001662881,0.0002731374,0.9995029,0.000002122779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007829878,0.005892118,0.0008289704,0.3461508,0.06637488,0.00008652085,0.001856263,0.001316848,0.5767106],"genre_scores_gemma":[0.001882143,0.001280414,0.0001264989,0.04059776,0.00278798,0.00002406554,0.0003245398,0.0001976466,0.9527791],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7090201,"threshold_uncertainty_score":0.9734248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006208802251701288,"score_gpt":0.2004409565317644,"score_spread":0.1942321542800632,"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."}}