{"id":"W2164514056","doi":"","title":"COMPARISON OF CLEANING PERFORMANCE FOR ROW CLEANERS ON A STRIP TILLAGE IMPLEMENT","year":2010,"lang":"en","type":"article","venue":"University Library - University of Saskatchewan (University of Saskatchewan)","topic":"Soil Management and Crop Yield","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan","keywords":"Seedbed; Tillage; Residue (chemistry); Crop residue; Agricultural engineering; Sowing; Mathematics; Agronomy; Environmental science; Strip-till; Agriculture; Engineering; No-till farming; Soil science; Soil water; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001235297,0.0005685911,0.0006859138,0.0005416037,0.0004314717,0.0007031424,0.0006124472,0.0006264222,0.00219093],"category_scores_gemma":[0.003041179,0.0004126492,0.0008122966,0.0004253579,0.0002554793,0.000635488,0.0007248572,0.0004158302,0.0006195135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003024412,"about_ca_system_score_gemma":0.0003378055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001844313,"about_ca_topic_score_gemma":0.005817816,"domain_scores_codex":[0.998794,0.0001947492,0.0001557878,0.0002983591,0.0004162502,0.0001409087],"domain_scores_gemma":[0.9962466,0.001647472,0.0005369722,0.0004075219,0.0008497623,0.0003116973],"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":[0.007625172,0.001390773,0.04312226,0.0007200861,0.0003482663,0.0001127189,0.0009692619,0.001910881,0.8834321,0.0001010226,0.0004213581,0.0598461],"study_design_scores_gemma":[0.0001451027,0.04706771,0.575449,0.00009832633,0.0006840318,0.0002583759,0.001422307,0.005080509,0.3641987,0.0001127104,0.005361245,0.0001218885],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982255,0.0001125704,0.001135877,0.00001202508,0.00001091255,0.0000383194,0.000123538,0.00002302307,0.0003180235],"genre_scores_gemma":[0.9760095,0.0003513019,0.01717464,0.00005932818,0.0000144545,0.00008685179,0.0009458134,0.00008037366,0.005277636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00219093,"threshold_uncertainty_score":0.007329345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564414354844406,"score_gpt":0.1920345078186426,"score_spread":0.1763903642701986,"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."}}