{"id":"W4413502378","doi":"10.64628/aam.upph9n5va","title":"Lessons from a cancelled marathon: Athletic events, heat and the effects of climate change","year":2022,"lang":"en","type":"article","venue":"","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Climate change; Extreme heat; Economics; Environmental science; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003876851,0.0008118126,0.0009459204,0.0006462747,0.007249492,0.004779416,0.002447847,0.007773214,0.01254564],"category_scores_gemma":[0.01059495,0.0003978016,0.001239775,0.0006222581,0.003780388,0.004359895,0.005073163,0.01300766,0.001804036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003072788,"about_ca_system_score_gemma":0.009938763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0415909,"about_ca_topic_score_gemma":0.1478606,"domain_scores_codex":[0.9980405,0.0009579756,0.0000597436,0.0001760199,0.0002699944,0.0004957931],"domain_scores_gemma":[0.9950613,0.001312047,0.0002015651,0.000141951,0.0009747197,0.002308419],"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":[0.0006079759,0.001496995,0.01892508,0.001553443,0.0002259032,0.006248541,0.04145136,0.001209343,0.001213972,0.01169304,0.6741507,0.2412236],"study_design_scores_gemma":[0.0001916624,0.0006848944,0.0214029,0.003693527,0.00016341,0.001787584,0.2053786,0.0004960467,0.0005688684,0.04269821,0.7227457,0.0001885755],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04694765,0.02396282,0.001251274,0.8751109,0.03065772,0.0000666355,0.0002448735,0.00008598262,0.02167217],"genre_scores_gemma":[0.5652204,0.05775863,0.003625481,0.2953272,0.02470521,0.0001832341,0.0003713781,0.0001951125,0.05261327],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0415909,"threshold_uncertainty_score":0.08269763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03444062616829936,"score_gpt":0.2922786985135515,"score_spread":0.2578380723452521,"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."}}