{"id":"W4402787685","doi":"10.1016/j.ahjo.2024.100463","title":"The environmental effects of non-invasive cardiac imaging","year":2024,"lang":"en","type":"article","venue":"American Heart Journal Plus Cardiology Research and Practice","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004402894,0.0001170879,0.0003221125,0.00007735532,0.0007750234,0.0001288523,0.0001620183,0.0000353764,0.00003624488],"category_scores_gemma":[0.001757374,0.00007834732,0.0000983111,0.000288756,0.002068478,0.0004002707,0.0002740828,0.0009459794,0.0002006418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002533922,"about_ca_system_score_gemma":0.000104553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004144907,"about_ca_topic_score_gemma":0.000008053758,"domain_scores_codex":[0.9968846,0.001442582,0.0002238065,0.0002526963,0.0004979399,0.0006984082],"domain_scores_gemma":[0.9847626,0.01457567,0.00007728481,0.0002049405,0.00002231616,0.0003571978],"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":[0.001378771,0.00008614431,0.2242117,0.0002501811,0.000539135,0.002933812,0.006781878,0.00009341457,0.1616761,0.0000743191,0.3337038,0.2682707],"study_design_scores_gemma":[0.0006104974,0.003341193,0.2804599,0.0002418005,0.000159596,0.01171318,0.01757392,0.0003122346,0.0019273,0.001011783,0.6822665,0.0003821569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9436062,0.02424452,0.00009924015,0.02412264,0.0007006341,0.0005440739,0.0000179778,0.000018464,0.006646282],"genre_scores_gemma":[0.9546211,0.04409176,0.0001571406,0.000528117,0.0004153872,0.00001916395,0.000001599467,0.00001677681,0.000148981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3485626,"threshold_uncertainty_score":0.7621392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04760853606906339,"score_gpt":0.4066555750638869,"score_spread":0.3590470389948235,"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."}}