{"id":"W4404483270","doi":"10.52260/2304-7216.2024.2(55).31","title":"Кәсіпорындардың инновациялық іс-әрекетін ынталандыру тетіктерін іске асырудың шетелдік тәжірибесі","year":2024,"lang":"kk","type":"article","venue":"Вестник Казахского университета экономики финансов и международной торговли","topic":"Human Resources and Workforce","field":"Social 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":[0.00272269,0.0007390206,0.0005051584,0.002020943,0.004505366,0.01150012,0.0009582128,0.002376326,0.01612272],"category_scores_gemma":[0.005453978,0.0004265269,0.000727035,0.0020955,0.01350287,0.009190632,0.003057726,0.003263692,0.005676428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006354998,"about_ca_system_score_gemma":0.008614616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008004236,"about_ca_topic_score_gemma":0.007201863,"domain_scores_codex":[0.996617,0.001180342,0.0001907942,0.0006739239,0.000982671,0.0003553264],"domain_scores_gemma":[0.997128,0.0009896525,0.0003349991,0.0002794829,0.0009360393,0.0003318299],"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":[0.00002789484,0.0000291991,0.001294872,0.0001969347,0.00002113527,0.000191792,0.006339812,0.0003139606,0.0004175946,0.9592589,0.009222629,0.02268526],"study_design_scores_gemma":[0.00003326292,0.00005408979,0.004050219,0.0005466547,0.00005318969,0.0004563454,0.01213646,0.0008775882,0.001140979,0.5749094,0.4056821,0.00005959179],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02943745,0.01227367,0.02777593,0.02717542,0.001212233,0.0001784755,0.0004731482,0.0001947932,0.9012788],"genre_scores_gemma":[0.8024755,0.01279076,0.02714978,0.004494062,0.00103989,0.0004539973,0.000447854,0.0002230166,0.1509253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01612272,"threshold_uncertainty_score":0.05393589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02210958633630494,"score_gpt":0.3543148392623357,"score_spread":0.3322052529260308,"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."}}