{"id":"W3111948375","doi":"10.1145/3432291.3432311","title":"Review on Machine learning and its application in Atmospheric science and Human Behavior Recognition","year":2020,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Machine learning; Artificial intelligence; Computer science; Field (mathematics)","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":[0.0002163549,0.00005707447,0.00007127111,0.0000146516,0.0001672623,0.00004387047,0.0001421699,0.00001753783,0.00000915596],"category_scores_gemma":[0.00002846513,0.00005256211,0.000007471523,0.0006847624,0.00003321518,0.0002061011,0.00009672793,0.0001001734,0.00001388527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001906262,"about_ca_system_score_gemma":0.00001162061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002816104,"about_ca_topic_score_gemma":0.000005580897,"domain_scores_codex":[0.9993762,0.00001562525,0.0001182732,0.0003081821,0.0001023509,0.00007934002],"domain_scores_gemma":[0.9997343,0.0000104081,0.00004867099,0.00008516314,0.00005573071,0.00006568588],"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":[0.000001463066,0.00005629612,0.002162592,0.0001339018,7.845207e-7,8.92855e-7,0.0000793845,0.000001341632,0.03148509,0.02412358,0.00008410894,0.9418706],"study_design_scores_gemma":[0.001518153,0.002755379,0.08059362,0.001327775,0.00007018999,0.0001172476,0.00009198141,0.6661155,0.09727909,0.004995225,0.1431829,0.001952937],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4494416,0.008315755,0.5129036,0.01524677,0.00002919037,0.003878503,0.000003724619,0.001524903,0.008655989],"genre_scores_gemma":[0.9864755,0.001921836,0.009484755,0.001848914,0.000008490191,0.0002239482,0.000001787275,0.000003704482,0.00003107473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9399176,"threshold_uncertainty_score":0.2143421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03163876775348806,"score_gpt":0.2977566507878859,"score_spread":0.2661178830343979,"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."}}