{"id":"W4313398026","doi":"10.3390/ijerph20010814","title":"Exploring Extreme Weather and Recess Policies, Practices, and Procedures in the Canadian Context","year":2023,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University; Western University; University of Winnipeg","funders":"University of Winnipeg","keywords":"Context (archaeology); Weather modification; Extreme weather; Best practice; Psychology; Public relations; Medical education; Political science; Medicine; Geography; Meteorology; Ecology; Climate change","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004177383,0.0003222318,0.0003673058,0.003257279,0.01495527,0.006531064,0.001448715,0.0006896468,0.003151946],"category_scores_gemma":[0.00754798,0.0003868514,0.0003379287,0.00681641,0.007468172,0.002156732,0.003034339,0.001317894,0.0001664671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07780912,"about_ca_system_score_gemma":0.1358717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9905318,"about_ca_topic_score_gemma":0.9965608,"domain_scores_codex":[0.9950103,0.001310094,0.0002158928,0.0004324621,0.001661775,0.00136957],"domain_scores_gemma":[0.9918664,0.002334327,0.001099758,0.0003023347,0.002756312,0.001640893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008928926,0.00007991915,0.1387139,0.0006599835,0.00003828983,0.00148877,0.7818311,0.0006311575,0.002395127,0.01651384,0.004988554,0.05257021],"study_design_scores_gemma":[0.000004731116,0.00003123424,0.1554145,0.0003756016,0.00002436986,0.0001485189,0.7554815,0.0002738296,0.0004391072,0.0006259062,0.08710004,0.00008062085],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941533,0.002203738,0.00150008,0.004596908,0.00006947885,0.0001333463,0.0008380513,0.00004670532,0.04907867],"genre_scores_gemma":[0.991927,0.001857186,0.001764458,0.0003748208,0.000009131171,0.00003989747,0.0002423318,0.00002483765,0.003760321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07780912,"threshold_uncertainty_score":0.5645473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3542715137704206,"score_gpt":0.411865206877983,"score_spread":0.0575936931075624,"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."}}