{"id":"W6930246878","doi":"10.5281/zenodo.11106375","title":"Global climate change below 2°C avoids large end century increases in burned area in Canada","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Environment and Climate Change Canada","funders":"","keywords":"Climate change; Climate model; Global warming; Global change; Greenhouse gas; Land use; General Circulation Model; Projection (relational algebra)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003163669,0.0002394553,0.0002946171,0.0009303861,0.001956074,0.001987113,0.000783406,0.0004383798,0.02893854],"category_scores_gemma":[0.001994026,0.00018177,0.0005228479,0.002775423,0.0003595285,0.0005973066,0.0006520238,0.000735276,0.002767831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0203392,"about_ca_system_score_gemma":0.05074508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957,"about_ca_topic_score_gemma":0.9976172,"domain_scores_codex":[0.9997054,0.00001359317,0.00001047873,0.00005241806,0.0001156949,0.0001023801],"domain_scores_gemma":[0.9992896,0.00003888037,0.00003076333,0.00003943026,0.0004870243,0.0001143463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004596009,0.0000595051,0.135698,0.0005082441,0.0002141108,0.0002856504,0.001325564,0.02407623,0.002090599,0.03795469,0.6602584,0.1370694],"study_design_scores_gemma":[0.000122703,0.00002015296,0.369279,0.0002847694,0.0001138429,0.0001435973,0.002073995,0.01921795,0.002794207,0.005528136,0.6002848,0.0001369112],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1678891,0.002548551,0.008995525,0.006574445,0.0007818597,0.0001789942,0.4820994,0.003051764,0.3278804],"genre_scores_gemma":[0.7408042,0.001869402,0.01219802,0.001023235,0.0000476979,0.0001138525,0.1092663,0.001641156,0.1330362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02893854,"threshold_uncertainty_score":0.1475719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02418170397749898,"score_gpt":0.2474977645412898,"score_spread":0.2233160605637908,"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."}}