{"id":"W6992101901","doi":"","title":"Just Energy Offsets Carbon Emissions Associated with Televised Viewing of Toronto Maple Leafs and Toronto Raptors Regular Season Games - WNCT","year":2014,"lang":"en","type":"other","venue":"","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Energy (signal processing); Carbon fibers; Climate change; Energy consumption","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":[0.0003533547,0.0004211058,0.0001639151,0.0008072743,0.00103118,0.002227871,0.0007675015,0.0005229324,0.07716256],"category_scores_gemma":[0.002814328,0.0001946527,0.0003993252,0.001251383,0.0003837569,0.0006730532,0.00120393,0.0007428678,0.007502314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006401036,"about_ca_system_score_gemma":0.008857735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7607703,"about_ca_topic_score_gemma":0.9293824,"domain_scores_codex":[0.999603,0.00002808289,0.000007659241,0.00004301395,0.000210297,0.0001079838],"domain_scores_gemma":[0.9987025,0.00009055867,0.0001146215,0.00009182726,0.0006681885,0.0003322325],"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":[0.0009839252,0.0002446916,0.1004833,0.0003198482,0.0001491271,0.000260685,0.0007991329,0.004008158,0.001628903,0.01040342,0.7492698,0.131449],"study_design_scores_gemma":[0.0001221184,0.0001524493,0.534147,0.0003620105,0.000138692,0.0001364296,0.00372358,0.007138046,0.00340468,0.003172684,0.4474482,0.00005406283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1606999,0.0009383221,0.002027663,0.004937337,0.0006213033,0.000238286,0.1113126,0.0008200941,0.7184044],"genre_scores_gemma":[0.4819109,0.0008338214,0.00258856,0.0006299031,0.0001800653,0.000123866,0.0502656,0.0004711306,0.4629962],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2392297,"threshold_uncertainty_score":0.481277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151442515349963,"score_gpt":0.200725889606125,"score_spread":0.1855816380711287,"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."}}