{"id":"W6999405832","doi":"","title":"COMPUTER PROGRAMS INTELLECTUAL PROPERTY PROTECTION IN CANADA AND INDIA","year":2010,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Healthcare Regulation","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intellectual property; Data Protection Act 1998; Computer program; Point (geometry); Computer technology; Computer software","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":[],"consensus_categories":[],"category_scores_codex":[0.0006323757,0.000240833,0.0003013163,0.0003869284,0.0004493406,0.00004693932,0.000291484,0.0003601024,0.00004334468],"category_scores_gemma":[0.0001067183,0.0002133154,0.00003081484,0.0005707599,0.00008192893,0.0007819615,0.000282018,0.002279409,0.00007226511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082719,"about_ca_system_score_gemma":0.002179045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1698778,"about_ca_topic_score_gemma":0.9923903,"domain_scores_codex":[0.9973214,0.0007841358,0.0003964545,0.0005117005,0.0003301407,0.0006561649],"domain_scores_gemma":[0.9987204,0.0001863837,0.0001973482,0.0003571925,0.0002003259,0.0003383661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008302948,0.00003290644,0.9729773,0.0001698533,0.00001062155,0.00006169303,0.001670508,0.000002203192,0.0002952915,0.00001661346,0.000001114621,0.02467883],"study_design_scores_gemma":[0.000899657,0.0001034937,0.9906219,0.0002917947,0.000009954209,0.00001750816,0.0005928224,0.0000121985,0.0000761146,0.0000212884,0.007099958,0.0002533264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964235,0.000007513808,0.0002884007,0.0005370001,0.0007438017,0.001782583,0.00000704464,0.0001112391,0.0000989406],"genre_scores_gemma":[0.9977165,0.000009222802,0.00009677859,0.000332955,0.0001890262,0.00001447663,0.0000206217,0.00003594282,0.001584493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8225125,"threshold_uncertainty_score":0.9903027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1578648912583435,"score_gpt":0.3646357963528915,"score_spread":0.206770905094548,"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."}}