{"id":"W3196408471","doi":"10.1016/s2468-2667(21)00204-8","title":"Call for emergency action to limit global temperature increases, restore biodiversity, and protect health","year":2021,"lang":"en","type":"article","venue":"The Lancet Public Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Innovation, Science and Economic Development Canada","keywords":"Global health; Global warming; Context (archaeology); Harm; Climate change; Biodiversity; Summit; Poverty; Political science; Economic growth; Environmental resource management; Natural resource economics; Environmental protection; Geography; Health care; Environmental science; Economics; Ecology; Law; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001448901,0.0001334662,0.0002876437,0.00002151956,0.0007565704,0.00006425532,0.0001986197,0.00006999434,0.0002612837],"category_scores_gemma":[0.0002658209,0.0001009756,0.00003389886,0.0004774665,0.00004153133,0.000167281,0.0002467007,0.0001802631,0.00006724179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008114979,"about_ca_system_score_gemma":0.0003299827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007708481,"about_ca_topic_score_gemma":0.02094536,"domain_scores_codex":[0.9980748,0.0002552938,0.000231581,0.0003498175,0.0002502674,0.000838291],"domain_scores_gemma":[0.9986762,0.00003696624,0.0001269223,0.0003514962,0.00002895287,0.0007794476],"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":[0.0000615882,0.0001043261,0.06965731,0.0003030134,0.000007247246,0.000002467164,0.001358554,0.000004592596,0.00009333091,0.0002051933,0.8944853,0.03371711],"study_design_scores_gemma":[0.0006198653,0.0004820806,0.4797913,0.0000447962,0.000003897223,0.00004023309,0.0005556692,0.00002891642,0.00001331161,0.0004196499,0.5178345,0.0001657692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4944557,0.0006315266,0.00005548751,0.5028887,0.0002039492,0.0009620802,0.0004478839,0.00006134636,0.0002932693],"genre_scores_gemma":[0.7561845,0.01284274,0.003142966,0.2243483,0.001822895,0.0002714618,0.0005391841,0.00003530292,0.0008126777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4101339,"threshold_uncertainty_score":0.9988993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2096801089825294,"score_gpt":0.3845679817088119,"score_spread":0.1748878727262825,"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."}}