{"id":"W7000842116","doi":"","title":"How Can Machine Learning Help Address Climate Change? (2021-02-12)","year":2021,"lang":"en","type":"other","venue":"University of Minnesota Digital Conservancy (University of Minnesota)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital","funders":"","keywords":"Training (meteorology); Climate change; Training set; Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000935147,0.0005854772,0.0004213031,0.0006552578,0.00173628,0.004070341,0.001015456,0.003622759,0.6803677],"category_scores_gemma":[0.002937439,0.000252488,0.0004674004,0.0005198341,0.0003257605,0.001919568,0.002008235,0.002112689,0.5189717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166172,"about_ca_system_score_gemma":0.002324366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01152484,"about_ca_topic_score_gemma":0.04849878,"domain_scores_codex":[0.999639,0.00004343424,0.00001183512,0.00004002754,0.000151531,0.0001141343],"domain_scores_gemma":[0.9981266,0.0001303336,0.00004645643,0.0000638254,0.0006770793,0.0009558835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001360415,0.00001537247,0.00007110342,0.00001642581,6.633607e-7,0.00001127967,0.000005573288,0.00002535616,0.0000392007,0.0004491732,0.9824793,0.01687286],"study_design_scores_gemma":[0.00001296101,0.00001570175,0.0005503363,0.00007092938,0.000001471792,0.00001369148,0.00005301211,0.0001438131,0.00009590203,0.0007408286,0.998296,0.000005538764],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001019867,0.00202403,0.001372462,0.06733207,0.02750414,0.0002657819,0.007464053,0.002746098,0.8902716],"genre_scores_gemma":[0.002630051,0.0009500798,0.0007316429,0.008158042,0.001763262,0.00008885015,0.002261141,0.0005052552,0.9829117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6803677,"threshold_uncertainty_score":0.4559166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420915347748084,"score_gpt":0.1914545159754851,"score_spread":0.1672453624980043,"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."}}