{"id":"W4417253642","doi":"10.1097/ncm.0000000000000856","title":"Adjusting to Weather-Related Health Risks: A Personal Reflection","year":2025,"lang":"en","type":"article","venue":"Professional Case Management","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"123 Certification (Canada)","funders":"","keywords":"Reflection (computer programming); MEDLINE; Health professionals; Health care","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.03716778,0.001164551,0.0009129303,0.001676559,0.0120394,0.0135215,0.005262856,0.0126346,0.006575335],"category_scores_gemma":[0.1185069,0.0008315912,0.001362985,0.0006606785,0.01640501,0.009199855,0.01279131,0.03581433,0.001737699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005844506,"about_ca_system_score_gemma":0.007977184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002087285,"about_ca_topic_score_gemma":0.003577087,"domain_scores_codex":[0.9655586,0.02378255,0.001071527,0.001909239,0.004947767,0.002730385],"domain_scores_gemma":[0.894868,0.05577475,0.004830812,0.005975403,0.01902684,0.01952414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001190349,0.002105303,0.01128104,0.0005498298,0.0002333554,0.005848428,0.5158708,0.001266673,0.002776578,0.01924168,0.3028318,0.1378755],"study_design_scores_gemma":[0.00007066108,0.000283449,0.003141646,0.001341453,0.00007251192,0.00883273,0.4734576,0.001519094,0.001454819,0.0293391,0.4801814,0.000305634],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0807052,0.005633068,0.01861754,0.8329797,0.01455365,0.0002669798,0.00005611523,0.0003214529,0.04686632],"genre_scores_gemma":[0.7259673,0.006555819,0.02060968,0.2143978,0.007201329,0.0002698368,0.00009108368,0.0004356891,0.02447153],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03716778,"threshold_uncertainty_score":0.1965644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09690866514454795,"score_gpt":0.4249205661581506,"score_spread":0.3280119010136027,"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."}}