{"id":"W6893453301","doi":"10.5281/zenodo.16760500","title":"INTERNATIONAL AND NATIONAL LEGAL MODELS FOR COMBATING UNFAIR COMPETITION: A COMPARATIVE ANALYSIS","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diverse Legal and Medical Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislature; Context (archaeology); Unfair competition; Competition (biology); Legal research; Adaptation (eye); Competition policy","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":[0.009145406,0.0003232941,0.0005168447,0.006951757,0.004140943,0.009287285,0.001393602,0.002093177,0.01056932],"category_scores_gemma":[0.01471668,0.0002128973,0.0009274862,0.00837115,0.008430406,0.009049113,0.004238748,0.002274493,0.0005122047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01043788,"about_ca_system_score_gemma":0.007047233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01316439,"about_ca_topic_score_gemma":0.0206933,"domain_scores_codex":[0.9907027,0.004371587,0.0003255404,0.0004736494,0.002885109,0.001241475],"domain_scores_gemma":[0.9903083,0.004724606,0.001427066,0.001073819,0.001889451,0.000576677],"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":[0.00001620723,0.00003693505,0.001504862,0.00005419402,0.00001405744,0.00004499492,0.0009298674,0.001238952,0.00003617064,0.9836996,0.001216201,0.01120806],"study_design_scores_gemma":[0.00008464389,0.0003660215,0.04351702,0.002246479,0.000399607,0.001057521,0.03582153,0.01834115,0.000904748,0.5696831,0.3274244,0.0001536943],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07021452,0.006912014,0.01477086,0.004460932,0.000109957,0.00008511297,0.0001083427,0.00004498679,0.9032933],"genre_scores_gemma":[0.9772263,0.006285378,0.006370446,0.0006938144,0.00006281768,0.0001152465,0.0001580095,0.00003738907,0.009050677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01316439,"threshold_uncertainty_score":0.07573253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0506681853685358,"score_gpt":0.2683937167824343,"score_spread":0.2177255314138986,"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."}}