{"id":"W7116341505","doi":"10.17605/osf.io/mu73z","title":"Global Center for Heat Adaptation","year":2025,"lang":"","type":"article","venue":"Open MIND","topic":"Climate Change and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Adaptation (eye); Training (meteorology); Center (category theory); State (computer science); Extreme heat; Global warming","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00321322,0.001139603,0.0006536931,0.001312655,0.001355382,0.002608774,0.001573021,0.001922787,0.1299294],"category_scores_gemma":[0.005681148,0.0002074993,0.0004843634,0.001507115,0.0008449946,0.001774948,0.005821764,0.004820686,0.040673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001897526,"about_ca_system_score_gemma":0.01106748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01325193,"about_ca_topic_score_gemma":0.008738963,"domain_scores_codex":[0.9980322,0.0004485847,0.00007832365,0.0003161845,0.000693881,0.0004308808],"domain_scores_gemma":[0.9967732,0.0002271462,0.0001253356,0.0004861775,0.001475693,0.0009124764],"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":[0.0000692399,0.00003540612,0.0007068769,0.0002211509,0.00001456391,0.0000448621,0.0001384355,0.0001190666,0.0003860923,0.02914109,0.8866584,0.08246467],"study_design_scores_gemma":[0.00000825673,0.00001527278,0.001180026,0.00008310389,0.000004035584,0.00002114011,0.00005242956,0.00005381795,0.00008692336,0.001884046,0.9966042,0.000006758964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002397586,0.01546612,0.008416185,0.1105272,0.03251998,0.0006485803,0.03202308,0.002841214,0.7951599],"genre_scores_gemma":[0.08559134,0.02406376,0.03068797,0.04685252,0.007737616,0.003062791,0.05799145,0.003177273,0.7408352],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1299294,"threshold_uncertainty_score":0.4346571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08864527552491096,"score_gpt":0.3509795314146806,"score_spread":0.2623342558897696,"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."}}