{"id":"W7101898870","doi":"10.2196/82426","title":"Exploring Reddit Discourse and Information Needs Surrounding Extreme Heat: Topic, Sentiment, and Engagement Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Guelph","funders":"","keywords":"Snapshot (computer storage); Public health; Information needs; Adaptation (eye); Information seeking; Public engagement; Extreme weather; Extreme heat; User needs","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":[0.002941849,0.0003767925,0.0003088182,0.003836686,0.003656166,0.002882783,0.0004931671,0.0005137349,0.003125921],"category_scores_gemma":[0.01184256,0.0001486507,0.000292422,0.0043305,0.001368756,0.00120969,0.002044467,0.0008948134,0.0004416422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01066999,"about_ca_system_score_gemma":0.009996884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5540991,"about_ca_topic_score_gemma":0.6925694,"domain_scores_codex":[0.9983413,0.0004510116,0.00009084211,0.0001746909,0.0005799953,0.0003621598],"domain_scores_gemma":[0.9905542,0.004422246,0.0009698407,0.0002190336,0.003157243,0.0006775182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004574986,0.0001185298,0.2481934,0.001322948,0.00005519742,0.0007243013,0.6370695,0.0003534311,0.01289412,0.003111204,0.02270435,0.07299552],"study_design_scores_gemma":[0.00002413087,0.00007546283,0.4264022,0.0004529543,0.0000795457,0.0001387328,0.4746898,0.002440484,0.002955976,0.0008618796,0.09176496,0.0001139175],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698952,0.0003285023,0.001982657,0.001465704,0.0000467701,0.0004492587,0.007208442,0.00009740923,0.01852598],"genre_scores_gemma":[0.9788513,0.0005832495,0.00511772,0.000572387,0.00005688717,0.0007912156,0.004911987,0.00007020395,0.009044962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5540991,"threshold_uncertainty_score":0.8970537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.712397136338943,"score_gpt":0.5658314746947648,"score_spread":0.1465656616441782,"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."}}