{"id":"W3048286969","doi":"10.29173/hsi312","title":"Where population health meets clean energy","year":2020,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clean energy; Environmental science; Environmental health; Medicine; Environmental protection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001151768,0.0001701098,0.0002784739,0.00007241346,0.001011696,0.00007099569,0.0004511741,0.00005144973,0.0009431],"category_scores_gemma":[0.00006070765,0.0001583876,0.00003644573,0.001282353,0.0004742348,0.0006995909,0.0002478354,0.0001595602,0.0004523147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008418644,"about_ca_system_score_gemma":0.0002823356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008125303,"about_ca_topic_score_gemma":0.002776201,"domain_scores_codex":[0.9967166,0.00006493971,0.0005161529,0.0006565508,0.0008603426,0.001185482],"domain_scores_gemma":[0.9974933,0.00002331643,0.0003048392,0.0003076349,0.00001381254,0.001857122],"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":[0.00004909726,0.0001245614,0.1412932,0.0003549534,0.000001438119,0.000007928899,0.02103588,0.0005389028,0.0005077449,0.001600938,0.2579771,0.5765083],"study_design_scores_gemma":[0.0005822458,0.00136793,0.8510507,0.0002146646,0.000002324771,0.00002418403,0.002744726,0.007028706,0.0002114824,0.0007021872,0.1355784,0.0004924287],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5286287,0.001363917,0.001060179,0.4638413,0.001395269,0.0008360391,0.00001697384,0.000411116,0.002446453],"genre_scores_gemma":[0.8995933,0.001081923,0.0007965964,0.09809909,0.0003564446,0.00001082124,0.00001429229,0.00001742981,0.00003009784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7097576,"threshold_uncertainty_score":0.9999702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1549230777624779,"score_gpt":0.387487194924107,"score_spread":0.2325641171616291,"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."}}