{"id":"W48821728","doi":"10.53846/goediss-1745","title":"Methodische Untersuchungen zum Einsatz der Nahinfrarot-Spektroskopie (NIRS) zur Qualitätsbeurteilung von High-Oleic-Sonnenblumen","year":2007,"lang":"de","type":"dissertation","venue":"","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Federal de Ouro Preto; Rheinische Friedrich-Wilhelms-Universität Bonn; Killam Trusts","keywords":"Achene; Sunflower; Sunflower oil; Yield (engineering); Chemistry; Food science; Oleic acid; Mathematics; Environmental science; Horticulture; Materials science; Biology; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002001265,0.002987094,0.003545613,0.001792105,0.0009581292,0.0008375549,0.002617144,0.004086732,0.0470079],"category_scores_gemma":[0.00124284,0.002959144,0.001930811,0.003386858,0.0003561712,0.00077422,0.0003796443,0.003516905,0.004006945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574883,"about_ca_system_score_gemma":0.0008421693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003918365,"about_ca_topic_score_gemma":0.000795822,"domain_scores_codex":[0.9869636,0.0004220675,0.00347608,0.003458984,0.002601687,0.003077532],"domain_scores_gemma":[0.990903,0.001807509,0.002264922,0.002878676,0.000937264,0.001208632],"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":[0.005759503,0.00627467,0.01618532,0.01452186,0.04480797,0.0011851,0.02037625,0.0001346972,0.7430599,0.02663546,0.09960162,0.02145769],"study_design_scores_gemma":[0.003476818,0.0003167128,0.001400792,0.0005223323,0.01378393,0.00002999906,0.0248772,0.0004550237,0.9182187,0.001268685,0.03103268,0.00461707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4334283,0.0664447,0.07564832,0.001639129,0.008121165,0.002744565,0.001211395,0.002226576,0.4085359],"genre_scores_gemma":[0.40053,0.004048812,0.05377222,0.001856165,0.006421231,0.0003554561,0.0196433,0.001049417,0.5123234],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1751589,"threshold_uncertainty_score":0.998782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923691971804424,"score_gpt":0.3530897246977426,"score_spread":0.3338528049796983,"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."}}