{"id":"W3139739736","doi":"10.1139/cjps2013-306","title":"AAC Stern soybean","year":2014,"lang":"en","type":"article","venue":"BioOne Complete (BioOne)","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":2,"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; Political science; History; Ancient history","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":[0.000310161,0.0008094137,0.0004161341,0.001346395,0.0008502399,0.0007887806,0.00072631,0.0003320555,0.1612031],"category_scores_gemma":[0.0003208169,0.0003977398,0.0002880449,0.0008752976,0.0001469384,0.0005176335,0.0007757492,0.0007159864,0.12749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207137,"about_ca_system_score_gemma":0.001174266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01714248,"about_ca_topic_score_gemma":0.04723024,"domain_scores_codex":[0.9996486,0.00001655838,0.00001291555,0.00009357339,0.0001802412,0.00004808511],"domain_scores_gemma":[0.9996766,0.00001608883,0.00002448992,0.00005989727,0.0001400206,0.00008286849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001180572,0.0002409209,0.002939605,0.0005125916,0.00003145089,0.0005411147,0.0001656446,0.0002662149,0.2875039,0.007329169,0.4654858,0.233803],"study_design_scores_gemma":[0.00006012538,0.0001198659,0.006727287,0.00005407166,0.00002305254,0.000376172,0.00005097678,0.0003555152,0.01465003,0.0004956186,0.9770677,0.0000195459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06449647,0.003443046,0.01325473,0.0009032656,0.0007490956,0.000872246,0.1401136,0.02370856,0.7524591],"genre_scores_gemma":[0.08378639,0.002732046,0.01825627,0.0004605319,0.00008296324,0.0005519767,0.2083234,0.003127768,0.6826786],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1612031,"threshold_uncertainty_score":0.5392782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2840697770658304,"score_gpt":0.2258384694728152,"score_spread":0.05823130759301512,"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."}}