{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003993918,0.0001830249,0.0002142492,0.0002365868,0.0005929205,0.0004939217,0.0004379057,0.0001817545,0.0007754183],"category_scores_gemma":[0.0008894505,0.0001240297,0.0001983152,0.0002808864,0.0003028943,0.0001990519,0.000236814,0.0004235085,0.00006543069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008895575,"about_ca_system_score_gemma":0.005052821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7928966,"about_ca_topic_score_gemma":0.952652,"domain_scores_codex":[0.9996941,0.00003205249,0.0000154824,0.0000634779,0.0001237357,0.00007116921],"domain_scores_gemma":[0.9990146,0.0001900505,0.0002110531,0.00003780227,0.0003735062,0.0001729546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003108215,0.0008214034,0.4188583,0.0003074405,0.0002084312,0.0006132349,0.001146203,0.00579485,0.5285751,0.0004595171,0.001021938,0.03908534],"study_design_scores_gemma":[0.00004344724,0.001119271,0.9675111,0.00001570219,0.00007233921,0.00005131688,0.0009786104,0.004408998,0.0237563,0.00005388574,0.00195815,0.00003073634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988757,0.00005788628,0.0001135427,0.00002514905,0.000001935798,0.0000170791,0.0001323656,0.000004121896,0.0007722813],"genre_scores_gemma":[0.9975457,0.0001561852,0.0009354902,0.00005757823,0.000001257299,0.00001517436,0.0002962476,0.000005546548,0.0009867679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2071034,"threshold_uncertainty_score":0.4166462,"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."}}