{"id":"W4229065777","doi":"10.51452/kazatu.2022.1(112).939","title":"ШАРУА ҚОЖАЛЫҚТАРЫНДА DЕLAVAL САУЫН РОБОТТАРЫН ҚОЛДАНУ ТИІМДІЛІГІ","year":2022,"lang":"kk","type":"article","venue":"HERALD OF SCIENCE OF S SEIFULLIN KAZAKH AGRO TECHNICAL UNIVERSITY","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.001088387,0.0004671806,0.0003285993,0.002089221,0.00386539,0.006233867,0.0004844659,0.001169935,0.02625644],"category_scores_gemma":[0.001708163,0.0003480356,0.0004850432,0.002143838,0.003194242,0.00287429,0.002471312,0.002102786,0.008355822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005165197,"about_ca_system_score_gemma":0.004463413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01102955,"about_ca_topic_score_gemma":0.01454748,"domain_scores_codex":[0.9986705,0.0002757349,0.00008903813,0.0002575272,0.0004776539,0.0002296693],"domain_scores_gemma":[0.9990659,0.000175302,0.0001062581,0.0001192405,0.0003771503,0.000156121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002796199,0.00011151,0.006014796,0.0004967715,0.00004892111,0.001033243,0.008146948,0.0008893781,0.006836693,0.6713971,0.043062,0.261683],"study_design_scores_gemma":[0.00001079853,0.00004373518,0.003821237,0.0001150246,0.00001382577,0.0004082117,0.001780314,0.0002124158,0.002856968,0.02220233,0.9685031,0.00003203551],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06214919,0.02039842,0.01725169,0.009924727,0.002227739,0.0001443762,0.00107897,0.0006070753,0.8862178],"genre_scores_gemma":[0.5891224,0.01225471,0.01234396,0.001250085,0.0005986088,0.0001614856,0.0008209705,0.0004582586,0.3829895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02625644,"threshold_uncertainty_score":0.08783656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117779850534614,"score_gpt":0.2012797127467894,"score_spread":0.1901019142414432,"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."}}