{"id":"W4253574491","doi":"10.4141/cjps07143","title":"Katrina 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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Cultivar; Yield (engineering); Crop; Division (mathematics); Agronomy; Horticulture; New Variety; Biology; Geography; Mathematics","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":[0.0002288309,0.0004973751,0.0003324721,0.00090633,0.0008641811,0.0004099331,0.0007352413,0.0002050841,0.02735198],"category_scores_gemma":[0.0001668167,0.0003453391,0.0002705728,0.0006322201,0.0001679118,0.0004031559,0.0006710601,0.0004608367,0.0137112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458828,"about_ca_system_score_gemma":0.0008459364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01518317,"about_ca_topic_score_gemma":0.07303331,"domain_scores_codex":[0.9996701,0.00001717219,0.00002939661,0.0001011809,0.0001309649,0.00005112236],"domain_scores_gemma":[0.9998073,0.000007202312,0.00002846017,0.00003303482,0.00007681081,0.00004726828],"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":[0.001551965,0.0002363748,0.005253858,0.000513168,0.00005042737,0.0003760312,0.0002616089,0.0002043138,0.8861598,0.002393215,0.03078955,0.07220982],"study_design_scores_gemma":[0.0002445102,0.0007149804,0.0834465,0.000117035,0.000144611,0.001616352,0.0002826446,0.0007782496,0.1207348,0.0005424324,0.7912676,0.0001104354],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5951157,0.004349354,0.0135621,0.0006832127,0.0005053863,0.002313711,0.1029273,0.009461875,0.2710813],"genre_scores_gemma":[0.3625975,0.002793685,0.02418362,0.0006314485,0.00003451643,0.001339961,0.1758581,0.001329045,0.4312321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02735198,"threshold_uncertainty_score":0.09150147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02793990190620167,"score_gpt":0.1897197990840273,"score_spread":0.1617798971778256,"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."}}