{"id":"W3000069288","doi":"10.3390/atmos11010099","title":"Determining the Effect of Extreme Weather Events on Human Participation in Recreation and Tourism: A Case Study of the Toronto Zoo","year":2020,"lang":"en","type":"article","venue":"Atmosphere","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Percentile; Extreme weather; Environmental science; Weather station; Precipitation; Weather patterns; Geography; Attendance; Meteorology; Climate change; Climatology; Statistics; Mathematics; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006338378,0.0003674231,0.0002087802,0.0007919831,0.001470155,0.000836031,0.0006956818,0.000448638,0.000964057],"category_scores_gemma":[0.001912503,0.0001464719,0.0004039599,0.001631576,0.001186071,0.0003706137,0.0009463667,0.0004177432,0.00007461982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007183483,"about_ca_system_score_gemma":0.003729091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7006407,"about_ca_topic_score_gemma":0.8656678,"domain_scores_codex":[0.9992738,0.0002592717,0.00002777122,0.00006186044,0.0001737025,0.0002035911],"domain_scores_gemma":[0.9985262,0.0005801962,0.000242554,0.00008093839,0.0002427912,0.0003272236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004116819,0.000386428,0.897781,0.000393652,0.0002360191,0.01558257,0.02958743,0.02201305,0.005156443,0.002455335,0.002630257,0.02336625],"study_design_scores_gemma":[0.00001684732,0.0002859965,0.9165737,0.00007258608,0.00006982572,0.0006800618,0.07050703,0.007028582,0.0009131921,0.0002264452,0.003582842,0.00004282926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972274,0.00009914691,0.0004640397,0.0001324096,0.000003978529,0.00004415835,0.0003566465,0.000004601542,0.001667687],"genre_scores_gemma":[0.998491,0.0001645037,0.0005796512,0.00002137573,0.000003937442,0.00002125018,0.0002210437,0.000002218024,0.0004948888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2993593,"threshold_uncertainty_score":0.6022446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04112316947284687,"score_gpt":0.3079650590055805,"score_spread":0.2668418895327336,"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."}}