{"id":"W4253353601","doi":"10.3410/f.736462574.793578517","title":"Faculty Opinions recommendation of The (in)visible health risks of climate change.","year":2020,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Climate change; Environmental science; Psychology; Environmental health; Data science; Computer science; Medicine; Oceanography; Geology","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":[0.001820196,0.001431912,0.001289829,0.002669854,0.00067082,0.003617218,0.002491581,0.002144763,0.231026],"category_scores_gemma":[0.01356628,0.000607196,0.001358882,0.00438937,0.0004080093,0.00202557,0.002482443,0.00180009,0.2150192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001644727,"about_ca_system_score_gemma":0.003099616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02778454,"about_ca_topic_score_gemma":0.06624726,"domain_scores_codex":[0.9987828,0.0001985188,0.0001373883,0.0003128063,0.0003740372,0.0001944351],"domain_scores_gemma":[0.9950295,0.001189273,0.0004936346,0.0008812054,0.001674255,0.0007320863],"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":[0.00001356269,0.000003491015,0.0002915212,0.0001768304,0.000007359484,0.000003607931,0.000004363886,0.00003343931,0.00001896421,0.0001299948,0.9983651,0.000951826],"study_design_scores_gemma":[0.0001223011,0.000006878418,0.002390665,0.0002311116,0.00001860162,0.00002003224,0.00003241875,0.0002156655,0.0001260971,0.0008557354,0.9959639,0.00001645066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004303977,0.00004089842,0.00004737943,0.000238747,0.00008243529,0.000007857913,0.9978402,0.0002397511,0.001459665],"genre_scores_gemma":[0.0004450701,0.00009393109,0.0002957759,0.000281901,0.00003372235,0.00005248645,0.9956448,0.000111278,0.003041097],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.231026,"threshold_uncertainty_score":0.7728589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.153367728900545,"score_gpt":0.4341397314161063,"score_spread":0.2807720025155613,"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."}}