{"id":"W6885997606","doi":"10.1371/journal.pone.0291501.s001","title":"S1 Appendix -","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Work (physics); Ecological footprint; Resource (disambiguation); Public health; Consumption (sociology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004162782,0.001040012,0.001333984,0.004093194,0.00175913,0.002232423,0.002478402,0.001749031,0.9009416],"category_scores_gemma":[0.05496555,0.0009327848,0.0007574528,0.005447952,0.0005647126,0.002765364,0.001934744,0.002087804,0.5362265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001833584,"about_ca_system_score_gemma":0.004411189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009736941,"about_ca_topic_score_gemma":0.01046976,"domain_scores_codex":[0.9976522,0.0006555244,0.0004894158,0.0004133276,0.0005977732,0.0001917417],"domain_scores_gemma":[0.9618047,0.02255954,0.001351849,0.002593561,0.01071435,0.0009760284],"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":[0.000101697,0.00005488767,0.0003954387,0.0008258401,0.00000559608,0.00003095017,0.00006976703,0.00007962517,0.00004125648,0.0007320847,0.9829445,0.01471827],"study_design_scores_gemma":[0.0002339182,0.00008838337,0.002383301,0.001319349,0.0000135869,0.0001445908,0.000514026,0.0001967433,0.0001568671,0.004632891,0.9902833,0.00003311969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007719867,0.0003504206,0.00233156,0.001559395,0.001056768,0.00237937,0.932523,0.001675821,0.05735173],"genre_scores_gemma":[0.009879075,0.001589056,0.0134461,0.00675807,0.0005553279,0.01343022,0.7533979,0.002899119,0.1980451],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09905839,"threshold_uncertainty_score":0.1412947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1484164418346972,"score_gpt":0.3388040578210783,"score_spread":0.1903876159863812,"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."}}