{"id":"W1605916701","doi":"10.2139/ssrn.1952764","title":"Technology Transfer and Entry Deterrence","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Deterrence (psychology); Technology transfer; Business; Deterrence theory; Computer security; Computer science; Law and economics; Economics; Political science; International trade; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0005869518,0.0001080742,0.00009992706,0.0001898349,0.0002168384,0.00007806744,0.0001541687,0.00007706888,0.0001430116],"category_scores_gemma":[0.00004366715,0.000081928,0.00003642575,0.0002026454,0.00004922375,0.0007666089,0.00004009158,0.0008979994,0.0002546344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006368989,"about_ca_system_score_gemma":0.00006914059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003635386,"about_ca_topic_score_gemma":0.00009450669,"domain_scores_codex":[0.9981359,0.00000723572,0.0001367773,0.00009532733,0.0001070537,0.001517687],"domain_scores_gemma":[0.9998335,0.000009307751,0.00003298015,0.00006619523,0.00004498562,0.00001305436],"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":[0.0001784402,0.0001936197,0.115799,0.00004440679,0.000171977,0.000005278729,0.0002519389,0.000003024407,0.002866934,0.5797685,0.0006363207,0.3000806],"study_design_scores_gemma":[0.003492183,0.000353317,0.006258668,0.0001886916,0.0003545323,0.002683986,0.005981242,0.001178483,0.002264385,0.6415321,0.3341972,0.001515303],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979089,0.00486332,0.005542367,0.0009964628,0.0003940339,0.00008567116,1.403226e-7,0.00005868794,0.008970286],"genre_scores_gemma":[0.9968567,0.0009342613,0.0000125457,0.0005032778,0.0008600223,0.000002596714,9.544322e-7,0.00001325817,0.0008163896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3335608,"threshold_uncertainty_score":0.3901411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0368360969570126,"score_gpt":0.2051177409678428,"score_spread":0.1682816440108302,"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."}}