{"id":"W3141270246","doi":"10.1139/cjps-2014-337","title":"AAC 26-15 soybean","year":2015,"lang":"en","type":"article","venue":"BioOne Complete (BioOne)","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":"Harrow; Cultivar; Crop; Greenhouse; Agronomy; Agriculture; Research centre; Horticulture; Biology; Computer science; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0002642303,0.0007160389,0.0003303967,0.001096827,0.0007384014,0.0003833243,0.0007199593,0.0003581244,0.01999082],"category_scores_gemma":[0.0001663242,0.000365202,0.0003500192,0.0005520254,0.0002148322,0.0001857609,0.0005358229,0.0007728342,0.01505472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001851258,"about_ca_system_score_gemma":0.001108748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03690092,"about_ca_topic_score_gemma":0.08337504,"domain_scores_codex":[0.9996139,0.00002425834,0.00002550217,0.00008872115,0.0001838874,0.00006372531],"domain_scores_gemma":[0.9997557,0.00001168553,0.00003266574,0.00003327528,0.00007184238,0.00009486867],"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":[0.0005665979,0.0001408818,0.00162084,0.0001538424,0.00001946671,0.000302923,0.00007112849,0.0002056131,0.9563357,0.001967836,0.01707545,0.02153962],"study_design_scores_gemma":[0.0002367171,0.0009036027,0.03856214,0.0001024019,0.00007454595,0.001131193,0.0001096574,0.001528719,0.1870453,0.0003693731,0.7698702,0.00006612523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5334367,0.004569205,0.0300193,0.000897928,0.001345317,0.003535172,0.1454989,0.005639832,0.2750577],"genre_scores_gemma":[0.3631743,0.001921108,0.0212981,0.0003951665,0.00005362236,0.001032554,0.1983316,0.0007666328,0.4130269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03690092,"threshold_uncertainty_score":0.07337224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4164860097569881,"score_gpt":0.2442932425065614,"score_spread":0.1721927672504268,"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."}}