{"id":"W7106335231","doi":"10.5281/zenodo.17660346","title":"ЭТАПЫ РАЗРАБОТКИ МЕХАНИЗМОВ ОБЕСПЕЧЕНИЯ КОНКУРЕНТОСПОСОБНОСТИ ПРЕДПРИЯТИЯ","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Impulse Buying and Technology Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001987227,0.0005263632,0.0007861034,0.001948193,0.005069289,0.002150817,0.002788693,0.00058471,0.02572971],"category_scores_gemma":[0.002794869,0.000706078,0.0002763871,0.002535376,0.0006727588,0.0005932807,0.002818442,0.001226944,0.04757093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000559668,"about_ca_system_score_gemma":0.00002105312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007957473,"about_ca_topic_score_gemma":0.00000102669,"domain_scores_codex":[0.9954489,0.0002574897,0.001274964,0.001430428,0.000197358,0.001390793],"domain_scores_gemma":[0.9967498,0.00007687588,0.0005851992,0.001697127,0.0005266233,0.0003643966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001667602,0.0007427922,0.0002042668,0.0003797867,0.0005746745,0.00005507845,0.001295776,0.00009179505,0.0005218461,0.3298079,0.4437044,0.2224549],"study_design_scores_gemma":[0.001578735,0.0003856636,0.002699903,0.0001687066,0.0000514305,0.00009200334,0.0004005656,0.0009661349,0.0005285389,0.01286827,0.9796237,0.0006363782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06622888,0.007133253,0.01625178,0.01377359,0.002383122,0.001492712,0.001798661,0.002609552,0.8883284],"genre_scores_gemma":[0.9749426,0.001728029,0.0003851756,0.001043964,0.0002494057,1.570678e-7,0.0009083285,0.002057575,0.01868476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9087137,"threshold_uncertainty_score":0.999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04297120104019871,"score_gpt":0.2392283025434205,"score_spread":0.1962571015032218,"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."}}