{"id":"W3210194275","doi":"","title":"Criminal Enforcement of Trade Secret Theft: Strategic Considerations for Canadian SMEs","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Trade Secret Protection Methods","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trade secret; Business; Intellectual property; Context (archaeology); Government (linguistics); Law enforcement; Enforcement; Organised crime; Terrorism; Identity theft; Computer security; Law; Political 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":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002230412,0.0001798847,0.0003127458,0.0001565572,0.001156777,0.00001920042,0.0001848011,0.0001835244,0.001287468],"category_scores_gemma":[0.000452587,0.0001634763,0.0001573693,0.0001689722,0.00005814666,0.0001300893,0.00001495737,0.002829507,0.00001252967],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054659,"about_ca_system_score_gemma":0.01827508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008376231,"about_ca_topic_score_gemma":0.1562467,"domain_scores_codex":[0.9959717,0.0006277069,0.0007256585,0.0002156989,0.000229518,0.002229678],"domain_scores_gemma":[0.9984455,0.0004699202,0.0003609962,0.000144379,0.0001351383,0.0004440477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001113467,0.00001555662,0.0004380196,0.0001189525,0.0001604916,0.000001759825,0.005316429,0.0001560935,0.001973794,0.9901643,0.0004149452,0.001128322],"study_design_scores_gemma":[0.002866453,0.001768813,0.0007324857,0.00008783428,0.0002306159,0.0001437742,0.08103666,0.00152367,0.0008962016,0.9000983,0.01025009,0.0003651096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3620719,0.004300164,0.3916196,0.177237,0.003062014,0.01041799,0.0006351721,0.0004084878,0.05024764],"genre_scores_gemma":[0.9926328,0.0002880828,0.004440315,0.001701897,0.000608604,0.00008122192,0.00001332982,0.00003659685,0.0001971453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6305609,"threshold_uncertainty_score":0.9996255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1653028636775935,"score_gpt":0.4133535963264852,"score_spread":0.2480507326488917,"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."}}