{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.002657651,0.0004148839,0.0008339236,0.0002699951,0.002029168,0.00005488861,0.003718984,0.0002688147,0.002100191],"category_scores_gemma":[0.0004259229,0.0002768665,0.0006035448,0.005508593,0.006718644,0.0006965972,0.003130947,0.0009479495,0.000009733659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009145634,"about_ca_system_score_gemma":0.0006712076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001779024,"about_ca_topic_score_gemma":0.0001501581,"domain_scores_codex":[0.9944195,0.0004616435,0.0008304072,0.001280333,0.001985905,0.001022219],"domain_scores_gemma":[0.9970343,0.000317716,0.0007146535,0.000594543,0.0007908887,0.0005478922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.003551068,0.008812757,0.008844874,0.0005985412,0.000166631,0.0002667982,0.001821494,0.002234548,0.7452224,0.05951151,0.01587228,0.1530971],"study_design_scores_gemma":[0.005782516,0.02666999,0.2033692,0.0004740515,0.0006368469,0.0004736123,0.3941505,0.004349842,0.1000549,0.01808862,0.2408954,0.005054556],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857637,0.0003699432,0.00002667267,0.008783824,0.0006000163,0.0006845507,0.0003589638,0.0001297895,0.00328258],"genre_scores_gemma":[0.9965531,0.0002526507,0.0006729345,0.0001133156,0.0001075421,0.000002564149,0.00002323736,0.00000441684,0.002270244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6451675,"threshold_uncertainty_score":0.9999683,"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."}}