{"id":"W4283359468","doi":"10.3390/electronics11131950","title":"RETRACTED: A Radical Safety Measure for Identifying Environmental Changes Using Machine Learning Algorithms","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":20,"is_retracted":true,"has_abstract":true,"ca_institutions":"Brandon University","funders":"Høgskulen på Vestlandet","keywords":"Air pollution; Pollutant; Pollution; Environmental science; Algorithm; Mean squared error; Machine learning; Harm; Atmosphere (unit); Process (computing); Computer science; Environmental engineering; Meteorology; Mathematics; Statistics; Ecology; Geography","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001298172,0.000177058,0.0001803513,0.00004016082,0.001505289,0.00003342408,0.00024755,0.00007759104,0.0007922724],"category_scores_gemma":[0.00006984395,0.0001999927,0.00009338396,0.0001893113,0.00008324567,0.0001110734,0.000320496,0.0009252302,0.00001408234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497323,"about_ca_system_score_gemma":0.0000227257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006502084,"about_ca_topic_score_gemma":0.00004111085,"domain_scores_codex":[0.9979017,0.0001876595,0.0002283778,0.0004099175,0.0006339216,0.0006384619],"domain_scores_gemma":[0.9994947,0.00009480138,0.0001500035,0.0001621383,0.000002383077,0.00009601934],"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":[0.0005612958,0.0005725978,0.05108878,0.00006075159,0.0001945272,0.00004237,0.005337296,0.055298,0.377841,0.0001667386,0.0004934357,0.5083432],"study_design_scores_gemma":[0.001552209,0.001046653,0.002579794,0.00002473981,0.0001174181,0.0002338384,0.00107139,0.4037748,0.01320663,0.0004148062,0.5750637,0.0009140733],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665289,0.004920606,0.02604881,0.0005181764,0.0006608903,0.0006723769,0.00009489634,0.0002309148,0.0003244552],"genre_scores_gemma":[0.9916668,0.0001169527,0.00663234,0.00009174915,0.0003052716,0.00006159468,0.0001145725,0.00006563018,0.0009450797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5745702,"threshold_uncertainty_score":0.9997946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04135636103320873,"score_gpt":0.2726795482708475,"score_spread":0.2313231872376388,"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."}}