{"id":"W2363517092","doi":"","title":"Study on Introduction,Screening and Experiment for New Good Quality Oil-Sunflower Variety Meikui 562","year":2008,"lang":"en","type":"article","venue":"Seed","topic":"Food Quality and Safety Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sunflower; Variety (cybernetics); Quality (philosophy); Sunflower oil; Agricultural engineering; Computer science; Horticulture; Biology; Food science; Engineering; Artificial intelligence; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003369697,0.0002762795,0.0002340198,0.0003148549,0.000680892,0.000214964,0.0002452055,0.0002885858,0.001535475],"category_scores_gemma":[0.0002445219,0.0001045799,0.0004403768,0.0002044098,0.0002164025,0.000308421,0.0002338612,0.0005075763,0.0002067311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006591791,"about_ca_system_score_gemma":0.0005592476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007682433,"about_ca_topic_score_gemma":0.01331829,"domain_scores_codex":[0.999823,0.00002110806,0.000008623866,0.00008356031,0.00003757655,0.00002624026],"domain_scores_gemma":[0.9997327,0.00006841461,0.0000281981,0.00002167941,0.00005038648,0.00009854775],"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":[0.0006144835,0.0006646002,0.00944854,0.00003256867,0.00001058343,0.0002347217,0.0002591684,0.00004683863,0.9857923,0.00007435283,0.00006499502,0.002756761],"study_design_scores_gemma":[0.0002269906,0.02045782,0.3938675,0.00001166531,0.0002150523,0.001063914,0.001304474,0.001192305,0.5741977,0.0001551271,0.007254753,0.00005258897],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988863,0.00003659826,0.0005155252,0.00002348941,0.000004547442,0.00004844358,0.0001205719,0.000007621751,0.0003569413],"genre_scores_gemma":[0.9875636,0.0001061665,0.004005356,0.0001193252,0.000008044372,0.00009056481,0.00127347,0.00002183366,0.006811702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007682433,"threshold_uncertainty_score":0.01527548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1095193274758451,"score_gpt":0.3091235921868973,"score_spread":0.1996042647110522,"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."}}