{"id":"W2177885544","doi":"10.4141/cjps2013-306","title":"AAC Stern soybean","year":2013,"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":"","keywords":"Stern; Cultivar; Crop; Glycine; Agronomy; Maturity (psychological); Horticulture; Biology; Mathematics; Engineering; Political science","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":[0.0003196909,0.000725829,0.0004287016,0.00130587,0.0009645498,0.0007929346,0.0007388847,0.0003272409,0.1378281],"category_scores_gemma":[0.0003342442,0.000400279,0.0002923585,0.0008949673,0.0001592632,0.0004687361,0.0007670592,0.0006962748,0.09560915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741754,"about_ca_system_score_gemma":0.001697759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04394041,"about_ca_topic_score_gemma":0.1234165,"domain_scores_codex":[0.999606,0.00001616308,0.00001387965,0.00009598677,0.0002118152,0.00005624097],"domain_scores_gemma":[0.9996308,0.00001407629,0.00002454262,0.00005977395,0.0001767576,0.00009407638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001229562,0.0002393103,0.004177938,0.0004876083,0.00003722419,0.0005669879,0.0001994634,0.00026573,0.2710571,0.007517862,0.4827342,0.2314871],"study_design_scores_gemma":[0.0000618498,0.0001102749,0.00935229,0.00004919518,0.00002449628,0.0003641662,0.00005799401,0.0003439938,0.01159275,0.0004072028,0.9776142,0.00002152795],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07349092,0.003345216,0.01110071,0.001001615,0.0007799077,0.0009521343,0.1401123,0.01879256,0.7504246],"genre_scores_gemma":[0.1004544,0.002867116,0.01893758,0.0005464209,0.00009214379,0.0005481624,0.2040807,0.002720738,0.6697528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1378281,"threshold_uncertainty_score":0.4610809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827470469763797,"score_gpt":0.1841330946813466,"score_spread":0.1658583899837086,"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."}}