{"id":"W2396380546","doi":"10.1021/acs.jafc.5b00159","title":"51st North American Chemical Residue Workshop","year":2015,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Residue (chemistry); Quality assurance; Chemical safety; Library science; Chemistry; Environmental science; Engineering; Computer science; Biochemical engineering; Organic chemistry; Operations management","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":[0.0001401458,0.0001563899,0.0003362551,0.000005169425,0.00006519712,0.00006520753,0.0002282629,0.00006217221,0.00002587622],"category_scores_gemma":[0.0001192522,0.00004707094,0.0001594926,0.0003704191,0.00009610115,0.0001271091,0.00006731834,0.0002514619,0.000002553966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003264592,"about_ca_system_score_gemma":0.00001423351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000248885,"about_ca_topic_score_gemma":0.0001304637,"domain_scores_codex":[0.9989143,0.00002425993,0.0003673346,0.0001570312,0.0003188431,0.0002182072],"domain_scores_gemma":[0.9988668,0.00009133822,0.0003491197,0.00003641451,0.0002688443,0.0003875128],"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":[0.0001531662,0.0002472235,0.06421691,0.00002373065,0.0002701575,0.00003326944,0.0002158718,0.00005811828,0.8760046,0.00001190121,0.009385865,0.04937916],"study_design_scores_gemma":[0.0003559852,0.0004343225,0.9355156,0.00004151431,0.0001193146,0.0005908039,0.002964448,0.00000408869,0.05627813,0.0001140635,0.003240824,0.0003408569],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967999,0.0006033227,8.358339e-7,0.002019551,0.00002604429,0.0000236168,0.0000113011,0.00001176282,0.0005036087],"genre_scores_gemma":[0.9986841,0.0001590919,0.0001129296,0.00007142391,0.0007951559,9.040945e-7,0.00002237587,6.734518e-7,0.0001533108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8712987,"threshold_uncertainty_score":0.1919497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972140174784013,"score_gpt":0.2122764286059761,"score_spread":0.192555026858136,"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."}}