{"id":"W1968358487","doi":"10.2134/agronj2006.0202","title":"Dry Bean Production in Zero and Conventional Tillage","year":2007,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Dry bean; Agronomy; Bentazon; Tillage; No-till farming; Phaseolus; Conventional tillage; Sowing; Crop; Mathematics; Weed; Dry matter; Yield (engineering); Biology; Soil water; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009637107,0.00006740207,0.00008882516,0.00001807681,0.0001361472,0.00008081931,0.00007710845,0.00004188195,0.0002174509],"category_scores_gemma":[0.0000271537,0.00002723613,0.0000394193,0.00006489945,0.00003461432,0.0003394976,0.0000252968,0.0001589547,0.00001941539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004994128,"about_ca_system_score_gemma":0.00000633907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001382243,"about_ca_topic_score_gemma":0.0003887497,"domain_scores_codex":[0.9993336,0.0000416181,0.0002469637,0.0001340149,0.00006778123,0.0001760024],"domain_scores_gemma":[0.9996831,0.0000625764,0.000132057,0.00001910995,0.00002799987,0.00007513395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001068409,0.0001116591,0.5478297,0.000006550603,0.00003230508,0.00002132425,0.0003287692,0.000006311827,0.03011784,0.0005988749,0.004179328,0.4166605],"study_design_scores_gemma":[0.0001591473,0.00009319526,0.9309596,0.0000459176,0.000004549984,0.0001948987,0.000885596,0.0000121384,0.0004125263,0.000666446,0.06645484,0.0001111616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957544,0.0003886121,0.00008591748,0.001140381,0.0003429642,0.00007131221,6.969556e-7,0.000008451622,0.002207282],"genre_scores_gemma":[0.9981095,0.00004704003,0.0001447835,0.00006355831,0.0005739921,0.000001056038,0.000003427704,4.869761e-7,0.00105617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4165493,"threshold_uncertainty_score":0.2380935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205788455428802,"score_gpt":0.2358654966872985,"score_spread":0.2152866511444183,"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."}}