{"id":"W2792900825","doi":"","title":"Assessment of Heat Warning and Information Systems in Canada","year":2017,"lang":"en","type":"article","venue":"97th American Meteorological Society Annual Meeting","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; History","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":[],"consensus_categories":[],"category_scores_codex":[0.001192615,0.0001457371,0.0003885877,0.00001126897,0.0002821147,0.00005723751,0.0002967062,0.00005263897,0.00002352803],"category_scores_gemma":[0.0004110904,0.0001194956,0.00005187677,0.0001199688,0.0003711133,0.0006733096,0.000332449,0.0002326459,0.000003815781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005479976,"about_ca_system_score_gemma":0.00006587878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9376564,"about_ca_topic_score_gemma":0.1592941,"domain_scores_codex":[0.998394,0.000198471,0.0004074716,0.000228143,0.0004145314,0.0003573678],"domain_scores_gemma":[0.9988707,0.0003022675,0.000451099,0.0002427888,0.00001661074,0.0001165313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006413677,0.00001335647,0.9790409,0.00004218929,0.00001285884,0.000003003204,0.0004321272,0.007496685,0.0007881097,0.00004766881,0.0001430192,0.01197372],"study_design_scores_gemma":[0.0002077999,0.0001422897,0.9074634,0.00003639036,0.000006261943,0.000003599531,0.003389882,0.0872866,0.00002929929,0.000002914155,0.00129556,0.000136055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952542,0.00003491926,0.000143096,0.0002536415,0.0001186463,0.0002552702,0.00002020568,0.0000166529,0.003903359],"genre_scores_gemma":[0.9976345,0.00003007853,0.002012192,0.0002610862,0.00002021251,0.00002913721,0.000003289611,0.000005610779,0.00000384885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7783623,"threshold_uncertainty_score":0.8560466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005352342831386287,"score_gpt":0.2269046012612867,"score_spread":0.2215522584299004,"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."}}