{"id":"W7098333005","doi":"","title":"Weed Control, Environmental Impact and Profitability of Weed Management Strategies in","year":2016,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glyphosate; Weed control; Weed; Pesticide; Crop; Field experiment; Crop yield","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":[0.0008041403,0.0004742368,0.0004912129,0.0002541777,0.0006211154,0.0004618849,0.0005855103,0.0003170134,0.0006478263],"category_scores_gemma":[0.0007061037,0.0002817454,0.0002323058,0.0002703036,0.0004890651,0.0002675621,0.0002375585,0.0004238221,0.00007881007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005552468,"about_ca_system_score_gemma":0.002964418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2272352,"about_ca_topic_score_gemma":0.5308216,"domain_scores_codex":[0.9995939,0.00006843284,0.00002846574,0.00009085829,0.0001305127,0.00008789817],"domain_scores_gemma":[0.9991922,0.0001341655,0.0002150757,0.00003994163,0.000186003,0.0002325208],"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":[0.02954015,0.01183333,0.1270233,0.0007832809,0.0003876716,0.0006667826,0.001090705,0.005989055,0.7636431,0.0002294072,0.001197153,0.05761595],"study_design_scores_gemma":[0.001433012,0.0867454,0.8089946,0.00004269912,0.0002877523,0.0001619459,0.0008311641,0.004322359,0.0917117,0.0001113284,0.005283969,0.00007411682],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995421,0.00008000577,0.00005479608,0.000008592575,0.000002400286,0.00005141237,0.00006145503,0.000005263597,0.0001940353],"genre_scores_gemma":[0.9949381,0.0002459088,0.001221557,0.0000712087,0.000004772979,0.0001727398,0.0005867646,0.00000531092,0.002753663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2272352,"threshold_uncertainty_score":0.4518251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151637292040493,"score_gpt":0.1933398739617915,"score_spread":0.1781761447577422,"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."}}