{"id":"W4401384917","doi":"10.1007/7854_2024_512","title":"Advancing Population Health Through Open Environmental Data Platforms","year":2024,"lang":"en","type":"review","venue":"Current topics in behavioral neurosciences","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University Health Centre; Public Health Ontario; University of Toronto","funders":"","keywords":"Data science; Population health; Open data; Computer science; Population; World Wide Web; Environmental health; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.004647646,0.001095057,0.001430586,0.002770191,0.0002796054,0.001831903,0.001432258,0.001679277,0.007572194],"category_scores_gemma":[0.01125422,0.0002910741,0.001178936,0.003265813,0.000998022,0.003247128,0.002694181,0.002833508,0.001772979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371559,"about_ca_system_score_gemma":0.004847169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005803104,"about_ca_topic_score_gemma":0.007734349,"domain_scores_codex":[0.9989325,0.0003266698,0.00009418475,0.0001597329,0.0004156709,0.00007108184],"domain_scores_gemma":[0.9923573,0.005604142,0.0004532883,0.0002753363,0.001029153,0.000280811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003274829,0.00002740546,0.0003696461,0.007971172,0.0001627255,0.00003627692,0.00005077187,0.0004837663,0.0002081125,0.0115727,0.0344733,0.9446114],"study_design_scores_gemma":[0.00002427313,0.00003127394,0.001005787,0.01338356,0.0002536637,0.0001498718,0.00009192657,0.0002579118,0.0002502358,0.02115577,0.9633686,0.00002723031],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001627698,0.9867914,0.002286569,0.004991409,0.001331762,0.00002322341,0.0003779364,0.00007690996,0.003958147],"genre_scores_gemma":[0.001507976,0.992796,0.001828815,0.001750024,0.001109506,0.000037479,0.0002986134,0.00001398894,0.0006575727],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9985678,"threshold_uncertainty_score":0.02533156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4809626430331507,"score_gpt":0.5382790553125262,"score_spread":0.05731641227937545,"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."}}