{"id":"W2986568795","doi":"10.15673/fst.v13i3.1453","title":"OPTIMIZATION OF THE TECHNOLOGICAL PROCESS OF FLAX SEED GERMINATION","year":2019,"lang":"en","type":"article","venue":"Food Science and Technology","topic":"Varied Academic Research Topics","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Germination; Christian ministry; Humidity; Relative humidity; Mathematics; Horticulture; Agricultural engineering; Environmental science; Agronomy; Engineering; Biology; Physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004529482,0.0005755561,0.0005409314,0.0003568284,0.0002502473,0.0006291493,0.0003485597,0.0003570836,0.0007342615],"category_scores_gemma":[0.0005870213,0.000248339,0.0005718918,0.0005593629,0.000174374,0.0003205387,0.0002429804,0.0005805976,0.000357468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005189637,"about_ca_system_score_gemma":0.0004706853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00145161,"about_ca_topic_score_gemma":0.001928153,"domain_scores_codex":[0.9996319,0.00005055337,0.00002958269,0.0001061822,0.0001349984,0.00004680553],"domain_scores_gemma":[0.9998254,0.00006446608,0.00005517096,0.00001291311,0.00003084712,0.0000111453],"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":[0.0003118215,0.0001609428,0.001839211,0.0006014107,0.00002814864,0.0001534802,0.00007543807,0.02926974,0.9474246,0.0005083438,0.0001876892,0.01943925],"study_design_scores_gemma":[0.00003121185,0.001219677,0.01302208,0.00004849803,0.00007142618,0.0001493777,0.00008055913,0.06135966,0.9181544,0.0003472634,0.005455766,0.00006005963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.900913,0.003616854,0.09031555,0.0001622499,0.00004890337,0.0001786128,0.0005141462,0.0003272069,0.003923568],"genre_scores_gemma":[0.9609342,0.001798149,0.0351855,0.00002999604,0.000006205212,0.0001385491,0.0003701278,0.00007032946,0.001466998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00145161,"threshold_uncertainty_score":0.003765345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01446502267728501,"score_gpt":0.2566879263805076,"score_spread":0.2422229037032226,"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."}}