{"id":"W2380499662","doi":"","title":"WEEDS MANAGEMENT IN CANADIAN ORGANIC AGRICULTURE","year":2004,"lang":"en","type":"article","venue":"Inner Mongolia Environmental Protection","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seeding; Crop rotation; Agriculture; Weed control; Organic farming; Agronomy; Environmental science; Agricultural engineering; Agroforestry; Weed; Crop; Business; Engineering; Geography; Biology","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":[0.0004112992,0.0003006312,0.0001174171,0.001544859,0.003861698,0.001008782,0.0006826782,0.000226081,0.003323248],"category_scores_gemma":[0.0005301577,0.0001135028,0.0001413473,0.002245701,0.0007622546,0.000229617,0.000704314,0.0002693582,0.0001950442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02945377,"about_ca_system_score_gemma":0.03556968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9731356,"about_ca_topic_score_gemma":0.9927258,"domain_scores_codex":[0.999473,0.00002864095,0.00001186695,0.00005700628,0.0002729845,0.00015646],"domain_scores_gemma":[0.9996112,0.00001718997,0.00004209577,0.00001029549,0.0002034346,0.0001158461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003930854,0.0002601648,0.07973297,0.001175198,0.00003871458,0.001262076,0.005734777,0.006359211,0.03574168,0.03206447,0.03611466,0.801123],"study_design_scores_gemma":[0.00005282736,0.0002781187,0.2967951,0.0001892811,0.00006463643,0.0003373631,0.006132966,0.002088895,0.005960916,0.002103906,0.6858998,0.00009611742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7606811,0.01271207,0.00528817,0.008675138,0.0002886874,0.0002650337,0.001129753,0.0004020362,0.210558],"genre_scores_gemma":[0.9283366,0.009615285,0.008957163,0.0007010753,0.00005474234,0.00003510192,0.000561371,0.00004882136,0.05168981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02945377,"threshold_uncertainty_score":0.213703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005935693000030198,"score_gpt":0.1620417668345363,"score_spread":0.1561060738345061,"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."}}