{"id":"W2312559158","doi":"10.1021/jp1063929","title":"Quantitative Prediction of Atrazine Sorption in a Manitoba Soil Using Conventional Chemical Kinetics Instead of Empirical Parameters","year":2010,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; University of Manitoba","funders":"","keywords":"Sorption; Kinetics; Chemistry; Stoichiometry; Leaching (pedology); Saturation (graph theory); Soil water; Atrazine; Environmental chemistry; Analytical Chemistry (journal); Chemical engineering; Adsorption; Organic chemistry; Pesticide; Soil science; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004684015,0.0007598607,0.0002760042,0.0005769617,0.0003172761,0.0004071302,0.0004681576,0.0003853134,0.0008352411],"category_scores_gemma":[0.000726718,0.0004607236,0.0003544284,0.0004900185,0.0002892549,0.000342995,0.0001971078,0.0003857145,0.0004886625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00196473,"about_ca_system_score_gemma":0.001322314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1817771,"about_ca_topic_score_gemma":0.2818057,"domain_scores_codex":[0.9998903,0.00002483375,0.000008771539,0.00003819373,0.00002573382,0.00001202307],"domain_scores_gemma":[0.9996657,0.0001439507,0.00004587596,0.00002358683,0.0001060704,0.00001474695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000462387,0.0002862466,0.1067369,0.000364489,0.0002630502,0.000257114,0.0002457968,0.07114507,0.7843331,0.0007117568,0.0002526869,0.03494147],"study_design_scores_gemma":[0.0001038974,0.00105308,0.13543,0.00004210588,0.0002599277,0.0002489235,0.0005022744,0.4716329,0.3861271,0.0009180725,0.00358346,0.00009816622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654744,0.0005776208,0.03032953,0.00007806309,0.000006738595,0.0001414433,0.001076157,0.0003600837,0.001955844],"genre_scores_gemma":[0.955195,0.00101894,0.04028831,0.00003055529,0.000001956584,0.00009863772,0.001068837,0.00004166336,0.002256137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8182229,"threshold_uncertainty_score":0.3614381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03433947403802712,"score_gpt":0.2812250972771916,"score_spread":0.2468856232391645,"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."}}