{"id":"W2056501351","doi":"10.4141/cjps07142","title":"RCAT MatRix 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":"","funders":"","keywords":"Cultivar; Glyphosate; Crop; Yield (engineering); Agronomy; Division (mathematics); Glycine; Agency (philosophy); Crop yield; Biology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000368649,0.0005812415,0.0003508544,0.00118865,0.0008397679,0.0005753754,0.001131615,0.0002861411,0.05965687],"category_scores_gemma":[0.0004595623,0.00048821,0.0003119287,0.001133586,0.0001668631,0.0004765045,0.0006047261,0.0006482861,0.03647558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001952778,"about_ca_system_score_gemma":0.001447831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05484758,"about_ca_topic_score_gemma":0.177608,"domain_scores_codex":[0.9995841,0.00002752552,0.00002724165,0.00009317059,0.0002090301,0.00005890794],"domain_scores_gemma":[0.9994243,0.00002781145,0.00005091597,0.00009803636,0.0002874914,0.000111503],"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":[0.001346013,0.0002010264,0.00455357,0.0005391939,0.00004384593,0.0004276471,0.000237579,0.0003774936,0.5433483,0.004992991,0.3193506,0.1245817],"study_design_scores_gemma":[0.0001272168,0.0002213907,0.01383312,0.00002919145,0.00003532893,0.0004806767,0.00005954998,0.0006470445,0.03961561,0.0002774943,0.9446349,0.00003840394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1442093,0.002394405,0.02990899,0.001201913,0.000647412,0.002679083,0.3590888,0.03109467,0.4287754],"genre_scores_gemma":[0.1152205,0.001572199,0.03833315,0.0006353814,0.00005824193,0.0009307145,0.4947372,0.004409085,0.3441035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05965687,"threshold_uncertainty_score":0.1995721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02546184544972251,"score_gpt":0.2046690664497454,"score_spread":0.1792072210000228,"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."}}