{"id":"W4210916416","doi":"10.1145/3485128","title":"Tackling Climate Change with Machine Learning","year":2022,"lang":"en","type":"review","venue":"OPUS 4 (Zuse Institute Berlin)","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":863,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Polytechnique Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy","keywords":"Climate change; Wonder; Computer science; Greenhouse gas; Join (topology); Humanity; Global warming; Data science; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001160364,0.0009521291,0.001319388,0.002236711,0.0003055513,0.001519814,0.001015093,0.00163462,0.004429389],"category_scores_gemma":[0.002155167,0.0002477929,0.000992947,0.00240049,0.0005151422,0.002153105,0.0008921424,0.003101883,0.002319725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008754014,"about_ca_system_score_gemma":0.001597583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001397104,"about_ca_topic_score_gemma":0.002199659,"domain_scores_codex":[0.9996314,0.0001021869,0.0000329606,0.00006452307,0.0001308068,0.0000379998],"domain_scores_gemma":[0.9989661,0.0007021244,0.0000795635,0.00003921741,0.0001606974,0.00005240478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003729605,0.00008492117,0.0002328118,0.02213523,0.0002843406,0.0001004704,0.00006165533,0.001898331,0.0007898922,0.01419045,0.04781939,0.9123651],"study_design_scores_gemma":[0.00001578093,0.00006501281,0.0005422125,0.00728202,0.0001771277,0.0002348803,0.00004810675,0.0004952569,0.0003173905,0.01330044,0.9774959,0.00002585407],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001129725,0.9958397,0.0006471365,0.001313182,0.0004062624,0.000007897293,0.00004396052,0.00002345621,0.001605487],"genre_scores_gemma":[0.001294246,0.9968389,0.000515776,0.0005925247,0.0002781359,0.00001138295,0.00006156204,0.000004737301,0.0004026661],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004429389,"threshold_uncertainty_score":0.01481783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1124073879609631,"score_gpt":0.3189045354384443,"score_spread":0.2064971474774812,"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."}}