{"id":"W4232382087","doi":"10.4141/cjps07197","title":"Nature soybean","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Cultivar; Harrow; Glycine; Crop; Agronomy; Biology; Agriculture; Horticulture","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002336583,0.0004208329,0.0003669691,0.0008253963,0.0006789028,0.0004939578,0.0007032847,0.0003237301,0.06940566],"category_scores_gemma":[0.0001884626,0.0003132662,0.000296325,0.0006200688,0.0001280961,0.0003850902,0.0005714407,0.0006222406,0.04535366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009075315,"about_ca_system_score_gemma":0.000583027,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006033262,"about_ca_topic_score_gemma":0.01830952,"domain_scores_codex":[0.9997678,0.00001267428,0.00001413438,0.00007135524,0.0001047224,0.00002924947],"domain_scores_gemma":[0.9998026,0.0000105147,0.00002396187,0.00003854097,0.00007092529,0.00005338706],"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":[0.001735435,0.000350577,0.005763012,0.0007007874,0.00005094878,0.0008803572,0.0001853759,0.0002782642,0.5996146,0.008118592,0.2208248,0.1614972],"study_design_scores_gemma":[0.0001068762,0.0001620416,0.009179849,0.00002958687,0.00002597771,0.0005180986,0.00004962927,0.0002237949,0.02661265,0.0005625843,0.962508,0.00002075814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1377808,0.004062053,0.0146646,0.001752676,0.001417373,0.001108645,0.2638969,0.01421113,0.5611057],"genre_scores_gemma":[0.1669717,0.002040382,0.01665701,0.001358963,0.00009994514,0.0006896689,0.3302787,0.002171244,0.4797324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9939668,"threshold_uncertainty_score":0.2321851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806015873207813,"score_gpt":0.1915656043469988,"score_spread":0.1735054456149206,"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."}}