{"id":"W4366337320","doi":"10.46747/cfp.6904233","title":"Clinical public health, climate change, and aging","year":2023,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Climate change; Public health; Computer science; Extreme weather; Data science; Term (time); Medicine; Ecology; Biology; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008573384,0.0001396636,0.0002451885,0.000134802,0.000404759,0.0000544488,0.0001497693,0.00006608949,0.00001748699],"category_scores_gemma":[0.00002424871,0.0001440272,0.00004338786,0.0006333944,0.0001661617,0.0002878467,0.0001098034,0.0001688397,0.002217385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003726716,"about_ca_system_score_gemma":0.00009094639,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01432482,"about_ca_topic_score_gemma":0.05773339,"domain_scores_codex":[0.9978859,0.00008569405,0.0002687096,0.0003568605,0.0001542809,0.001248538],"domain_scores_gemma":[0.9978851,0.00006675034,0.000082579,0.0002529201,0.000008303707,0.001704332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000001287925,0.00001317726,0.02075163,0.0000596657,0.00000588654,0.00003797916,0.001237069,0.000001144311,0.0000426734,0.0003109335,0.1156194,0.8619192],"study_design_scores_gemma":[0.0002507344,0.0000935162,0.5592172,0.00009321207,0.000004328009,0.000001115212,0.001885624,0.0003788911,0.000001548046,0.0007517925,0.4370736,0.0002484516],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.8644838,0.0016098,0.000001158358,0.07462525,0.001055031,0.0006763893,0.0001999512,0.0002503288,0.05709829],"genre_scores_gemma":[0.3932857,0.006976305,0.00006221067,0.5985889,0.0007728649,0.00005020998,0.00008375119,0.00004834873,0.0001317544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8616707,"threshold_uncertainty_score":0.9985595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2204064490989435,"score_gpt":0.3600250167231904,"score_spread":0.1396185676242469,"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."}}