{"id":"W4313484154","doi":"10.1139/cjps-2022-0197","title":"Investigating the effects of seed treatments on the economically optimal seeding rate of conventional soybean in Atlantic Canada","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Seeding; Agronomy; Yield (engineering); Profitability index; Biology; Abiotic component; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0007295033,0.00004766855,0.0000863388,0.00002854375,0.0003190029,0.00002140284,0.0003745589,0.000008275178,0.00003794663],"category_scores_gemma":[0.0002125939,0.00001685685,0.00002894071,0.0002942347,0.000166759,0.00003686716,0.00001905403,0.0001007536,1.314838e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001432265,"about_ca_system_score_gemma":0.0008487711,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.238252,"about_ca_topic_score_gemma":0.3835602,"domain_scores_codex":[0.9993142,0.00007420372,0.000213728,0.00007430208,0.0001813728,0.0001421887],"domain_scores_gemma":[0.9991796,0.0003947946,0.0002477483,0.00002588058,0.00004732764,0.0001046579],"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":[0.00002012208,0.00003042524,0.4450937,0.000009723421,0.00002760896,0.00003427485,0.0008661357,0.003672451,0.5449634,0.003512971,0.001101025,0.0006681512],"study_design_scores_gemma":[0.0001514799,0.0002726655,0.9880371,0.0000591825,0.000005905687,0.0000214887,0.001446059,0.001099693,0.008395257,0.0001834522,0.0002753029,0.00005237632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984907,0.00002766163,2.003248e-7,0.001106332,0.0001674597,0.0000871181,0.00005334792,3.491334e-7,0.00006686107],"genre_scores_gemma":[0.9997434,0.000001308867,0.000009804803,0.0002021191,0.00002589503,0.000001800852,0.000004281833,3.316006e-7,0.0000110356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5429434,"threshold_uncertainty_score":0.7668205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445080512461254,"score_gpt":0.1786109885363894,"score_spread":0.1641601834117768,"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."}}