{"id":"W7134590240","doi":"","title":"Вивчення впливу соків з дикорослої сировини Північного Казахстану на хімічний склад сироваткових напоїв","year":2023,"lang":"en","type":"article","venue":"The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Berry; Population; Food products; Raw material; Food processing; Health benefits; Milk products; Composition (language); Biological value","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":[0.001037925,0.0005266638,0.0003332686,0.002123398,0.002046712,0.003552031,0.0005746662,0.001117868,0.05532523],"category_scores_gemma":[0.001862393,0.0007009889,0.0005334167,0.002181208,0.002180529,0.001756644,0.001356249,0.001806924,0.01620328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570367,"about_ca_system_score_gemma":0.002560465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006262654,"about_ca_topic_score_gemma":0.008929836,"domain_scores_codex":[0.9988256,0.0001856711,0.00007594808,0.0002468856,0.0005319941,0.0001338253],"domain_scores_gemma":[0.9988966,0.0002295041,0.000149082,0.0001982216,0.0004281338,0.00009849811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002421416,0.0001309062,0.005183428,0.001219723,0.00007103125,0.002014165,0.003007399,0.002635908,0.103139,0.3012526,0.02284401,0.5582597],"study_design_scores_gemma":[0.00002536514,0.0001183237,0.00914076,0.0002743668,0.00005580099,0.001399278,0.001835035,0.001119175,0.03127656,0.04960749,0.9050367,0.0001110356],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.121287,0.06218196,0.2051288,0.01050738,0.005461546,0.0005474938,0.002604538,0.001282462,0.5909988],"genre_scores_gemma":[0.5811099,0.04309061,0.1504055,0.0009641067,0.001108062,0.000582013,0.001219439,0.0007608579,0.2207595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05532523,"threshold_uncertainty_score":0.1850814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1214768701561358,"score_gpt":0.3195521254670662,"score_spread":0.1980752553109304,"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."}}