{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000192229,0.0002961791,0.0006342506,0.0001789265,0.0005731935,0.00001583945,0.001312487,0.0002767805,0.001496993],"category_scores_gemma":[0.000007728651,0.0002588574,0.0004343734,0.0006813497,0.0004879906,0.0009411979,0.0005128129,0.000344435,0.00001471585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004799985,"about_ca_system_score_gemma":0.0001215797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005558137,"about_ca_topic_score_gemma":0.0114669,"domain_scores_codex":[0.9983122,0.00007420271,0.0002365274,0.000531649,0.000401845,0.0004435751],"domain_scores_gemma":[0.998507,0.0002820822,0.0005881368,0.0002632935,0.0001397669,0.0002197646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.01093657,0.003193198,0.3545749,0.001082141,0.001176954,0.0001321697,0.2489843,0.0005076152,0.1868598,0.001115841,0.0119328,0.1795037],"study_design_scores_gemma":[0.001821281,0.00139368,0.06311431,0.0001112766,0.0002094645,9.192006e-7,0.9007874,0.000611489,0.00839068,0.00008000085,0.02298813,0.0004914163],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948424,0.000009878871,0.00009430935,0.000722043,0.000128397,0.0004594583,0.0003996798,0.0001193377,0.003224515],"genre_scores_gemma":[0.990697,0.00004187093,0.002398839,0.00003933558,0.00004786798,2.425867e-8,0.0001965916,0.000005091033,0.006573441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6518031,"threshold_uncertainty_score":0.9999864,"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."}}