{"id":"W2391885597","doi":"10.1080/03601234.2016.1171646","title":"Pesticide regulations for agriculture: Chemically flawed regulatory practice","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Science and Health Part B","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Saint Mary's University","funders":"","keywords":"Pesticide; Environmental science; Government (linguistics); Work (physics); Soil water; Agriculture; Computer science; Biochemical engineering; Environmental chemistry; Soil science; Chemistry; Ecology; Thermodynamics; Engineering; Biology","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":[0.001978172,0.0001704488,0.0002676522,0.00004600882,0.0006485878,0.00002901716,0.0002759593,0.00005169411,0.000637116],"category_scores_gemma":[0.0002712166,0.0001046343,0.00007098355,0.0001603322,0.001396787,0.00100007,0.0002105852,0.0001090725,0.00005346031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009756234,"about_ca_system_score_gemma":0.00006263862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002839442,"about_ca_topic_score_gemma":0.00002128664,"domain_scores_codex":[0.9976741,0.00003974149,0.000582743,0.0003292628,0.0008920986,0.0004820526],"domain_scores_gemma":[0.9985956,0.0002102818,0.0005699219,0.0001709501,0.00001578049,0.0004374951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001935035,0.000592713,0.07126082,0.00002482862,0.00005010631,0.00001518605,0.0008564728,0.0001000662,0.743821,0.0006146047,0.0864793,0.09599138],"study_design_scores_gemma":[0.0008524834,0.0006140018,0.7615394,0.00007022469,0.0000416753,0.0001788123,0.0003426427,0.00001169164,0.005132152,0.0007384637,0.2302675,0.0002110286],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.946959,0.001432735,0.001601419,0.04534252,0.0004178297,0.0007828652,0.00003698853,0.00002213397,0.003404541],"genre_scores_gemma":[0.9893088,0.001147821,0.005821761,0.002841384,0.0002052234,0.00001587303,0.000001019382,0.00001244641,0.0006456809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7386889,"threshold_uncertainty_score":0.6975973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106878728757217,"score_gpt":0.2870768630330525,"score_spread":0.2660080757454804,"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."}}