{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00146552,0.0005531578,0.0005957701,0.002795986,0.001925606,0.006009959,0.0008568934,0.001541572,0.03439259],"category_scores_gemma":[0.005503101,0.0007738213,0.000765211,0.001897009,0.002935781,0.003212587,0.002017077,0.002163596,0.009323057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001666294,"about_ca_system_score_gemma":0.002913886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003589671,"about_ca_topic_score_gemma":0.003141011,"domain_scores_codex":[0.997876,0.0004165429,0.00009909028,0.0004353501,0.0009931313,0.0001797852],"domain_scores_gemma":[0.9978119,0.0007155816,0.0002905068,0.0003932483,0.0006261012,0.0001627787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001353837,0.00007162456,0.001903997,0.0004249035,0.00005409935,0.000512742,0.001398614,0.003188506,0.01819201,0.8323569,0.008182064,0.1335792],"study_design_scores_gemma":[0.0000716975,0.0001049351,0.004600743,0.0003386406,0.0001056132,0.001495812,0.001421321,0.00523287,0.01931824,0.4773702,0.4897858,0.0001542612],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06220253,0.02168687,0.2529105,0.00806476,0.002507636,0.000247311,0.001321576,0.0007409555,0.650318],"genre_scores_gemma":[0.6988509,0.01594279,0.1576619,0.0008331964,0.0009383818,0.0006450403,0.0007183404,0.0007796188,0.1236299],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03439259,"threshold_uncertainty_score":0.1150547,"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."}}