{"id":"W4401163386","doi":"10.1007/978-3-031-63451-2_5","title":"Measuring Global Warming Effect by the Prediction of Climate Change on the Different Countries Using Machine Learning Approaches","year":2024,"lang":"en","type":"book-chapter","venue":"Studies in systems, decision and control","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Climate change; Global warming; Climatology; Environmental science; Machine learning; Artificial intelligence; Computer science; Oceanography; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001816204,0.0003277138,0.000595473,0.00003441764,0.0004571948,0.00006460711,0.0001609492,0.0001229057,0.00000652953],"category_scores_gemma":[0.0001563778,0.0001620214,0.00009621403,0.00004579964,0.0003274242,0.00004534344,0.0003102181,0.0003889783,0.00001066064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003498664,"about_ca_system_score_gemma":0.000002338949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001847959,"about_ca_topic_score_gemma":0.00003624896,"domain_scores_codex":[0.998012,0.0001911308,0.0005345355,0.0003799846,0.000642821,0.0002395374],"domain_scores_gemma":[0.9981325,0.001317693,0.0002985779,0.0002061126,0.00001382993,0.00003126391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002965357,0.0001690761,0.4107661,0.00665066,0.003436625,0.0001112335,0.03628583,0.01741842,0.000214738,0.0369192,0.001056188,0.4840066],"study_design_scores_gemma":[0.008583352,0.003508877,0.009363445,0.07364292,0.003188044,0.0003184198,0.03227682,0.775396,0.0001386402,0.007240911,0.08311205,0.003230464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6549761,0.2560861,0.001400267,0.0007363723,0.008740772,0.007195116,0.001175437,0.0002966744,0.06939313],"genre_scores_gemma":[0.9963799,0.002121962,0.00000339452,0.00001808674,0.0002366022,0.00007747233,0.00000267446,0.00002447275,0.001135499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7579776,"threshold_uncertainty_score":0.6607042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1566917465063685,"score_gpt":0.2942257917415542,"score_spread":0.1375340452351857,"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."}}