{"id":"W2254453417","doi":"","title":"'To Save Humanity' - Introduction","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Health and Conflict Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Humanity; Pandemic; Coronavirus disease 2019 (COVID-19); Climate change; Political science; Environmental ethics; Law; Medicine; Infectious disease (medical specialty); Ecology; Biology","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":[0.003634446,0.0005990344,0.0004094845,0.0007231658,0.004948706,0.008000772,0.001768249,0.007036004,0.03602979],"category_scores_gemma":[0.004962608,0.0002026899,0.0004032297,0.001066024,0.01354009,0.007728437,0.007077752,0.01089514,0.006735282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004681516,"about_ca_system_score_gemma":0.006839387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006366499,"about_ca_topic_score_gemma":0.006788556,"domain_scores_codex":[0.9957798,0.00193973,0.0001002506,0.0004529525,0.001156086,0.0005711923],"domain_scores_gemma":[0.9969245,0.001363529,0.0001622669,0.0001850235,0.0005965805,0.0007682113],"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":[0.00001300098,0.00002981665,0.0002412125,0.0003641457,0.00000315152,0.00009373704,0.008605931,0.00005125313,0.0000915955,0.3513096,0.5904604,0.04873624],"study_design_scores_gemma":[0.000002638648,0.00001933034,0.0003365295,0.0006484673,0.000001161619,0.0001286642,0.003810567,0.00001725301,0.00003475645,0.01821512,0.9767779,0.000007590278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.002427101,0.07298437,0.001664227,0.5990031,0.04120129,0.000102922,0.0002759093,0.0001343337,0.2822067],"genre_scores_gemma":[0.1085304,0.08203346,0.003514864,0.4757108,0.02213014,0.0004167793,0.0003236928,0.0002484356,0.3070915],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.03602979,"threshold_uncertainty_score":0.1205316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0825898290459142,"score_gpt":0.4297581117169088,"score_spread":0.3471682826709946,"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."}}