{"id":"W231586341","doi":"","title":"Environmental impacts of herbicide-resistant crops in Canada(Changing Pesticide use and Risk Scenarios with the Introduction of GMO Crops,2) Environmental Fate and Safety Assessment)","year":2011,"lang":"en","type":"article","venue":"Nippon Nōyaku Gakkaishi","topic":"Agricultural safety and regulations","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pesticide; Environmental safety; Environmental risk assessment; Risk assessment; Genetically modified crops; Environmental impact assessment; Environmental science; Biology; Agronomy; Ecology; Environmental health; Human health; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002638861,0.0004526294,0.0001809704,0.0004557534,0.001208626,0.0009308165,0.0005493556,0.0005702064,0.001665856],"category_scores_gemma":[0.0003315358,0.0001772374,0.0007361991,0.001074139,0.0004566995,0.0003118865,0.0003942109,0.0003961263,0.0001260608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04085612,"about_ca_system_score_gemma":0.02208053,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949739,"about_ca_topic_score_gemma":0.9964949,"domain_scores_codex":[0.9997582,0.00002374373,0.000005528709,0.00003311094,0.00008272175,0.0000967871],"domain_scores_gemma":[0.9997966,0.00002092139,0.00002360686,0.000006065144,0.0001022895,0.00005057858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004629375,0.0008922975,0.5346892,0.0006211438,0.0008175417,0.004643896,0.001265991,0.2770868,0.04851865,0.008426595,0.03527431,0.08313418],"study_design_scores_gemma":[0.0003013217,0.0005068828,0.8538491,0.000045727,0.0003956046,0.0003535206,0.0027441,0.09928692,0.01587123,0.001262313,0.02522232,0.0001609411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840806,0.000580523,0.0005395338,0.0007303715,0.00001477702,0.00005528362,0.00823235,0.00006604497,0.005700564],"genre_scores_gemma":[0.9908389,0.0006079257,0.0009660237,0.0001309917,0.000002243025,0.0000129086,0.002442253,0.000009763256,0.004988928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04085612,"threshold_uncertainty_score":0.2964333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008014669004614661,"score_gpt":0.16471200420972,"score_spread":0.1566973352051053,"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."}}