{"id":"W1526042368","doi":"","title":"The Creation of University Intellectual Property: Confidential Information, Data Protection, and Research Ethics","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Intellectual property; Confidentiality; Data Protection Act 1998; Political science; Context (archaeology); Statutory law; Public administration; Library science; Law; Geography; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01141587,0.00008225106,0.00009305838,0.0001537439,0.001422253,0.000371233,0.001695195,0.0001211045,0.00001650206],"category_scores_gemma":[0.004411571,0.00004660134,0.00002596073,0.0004452441,0.0005684699,0.001972264,0.0005562506,0.004216368,0.00002029864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001434988,"about_ca_system_score_gemma":0.004076178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005985226,"about_ca_topic_score_gemma":0.002180808,"domain_scores_codex":[0.9976608,0.0005384117,0.000256609,0.0001770952,0.0005626681,0.0008044048],"domain_scores_gemma":[0.9975944,0.0005436963,0.0001304437,0.0005442138,0.00111993,0.00006731616],"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":[0.0003285598,0.00006629946,0.00005321199,0.00002271485,0.0001421146,8.736649e-7,0.01319518,0.000005805427,0.003810633,0.6686788,0.005312551,0.3083833],"study_design_scores_gemma":[0.0009973672,0.001355504,0.0001024183,0.00003774637,0.00002431781,0.001070236,0.007687219,0.07270023,0.003361457,0.1351402,0.7772241,0.0002993152],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02673148,0.0003194904,0.9568302,0.01062558,0.0005907094,0.0005294626,0.00000360115,0.00005342137,0.004316028],"genre_scores_gemma":[0.9933696,0.003724846,0.0003401911,0.0000506732,0.0001391738,0.000001213527,0.000003296225,0.00000539451,0.0023656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9666381,"threshold_uncertainty_score":0.9998778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05966480764108454,"score_gpt":0.2981124168047893,"score_spread":0.2384476091637048,"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."}}