{"id":"W2967503102","doi":"","title":"REVISING CANADIAN DATABASE PROTECTION: WHAT LESSONS FROM EUROPE?","year":2002,"lang":"en","type":"article","venue":"The Canadian Bar Review","topic":"Copyright and Intellectual Property","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Data Protection Act 1998; Doctrine; Political science; Database; Business; Law; Law and economics; Computer science; Economics","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":[0.02918988,0.0007814003,0.001572342,0.008800766,0.01350757,0.02497618,0.005613655,0.01336975,0.01133613],"category_scores_gemma":[0.05931723,0.0005799566,0.001525839,0.01660942,0.01349758,0.01388539,0.004644561,0.007861666,0.001450712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.105473,"about_ca_system_score_gemma":0.2751858,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9723442,"about_ca_topic_score_gemma":0.9592686,"domain_scores_codex":[0.9780594,0.002080151,0.001293015,0.00174463,0.01268297,0.004139861],"domain_scores_gemma":[0.925536,0.009994067,0.002080978,0.003082019,0.05227034,0.007036534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009183263,0.00005113547,0.001997481,0.0006960428,0.00004725696,0.0004572723,0.00158141,0.0005895403,0.0001685048,0.3313859,0.4494445,0.2134891],"study_design_scores_gemma":[0.00002976033,0.00001636507,0.004549775,0.001584874,0.00004710404,0.0001424951,0.001855322,0.0002537168,0.0001641924,0.02691847,0.9643488,0.00008908277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004929552,0.1628097,0.001425628,0.756367,0.006114332,0.0000463051,0.0007435338,0.0001331364,0.06743081],"genre_scores_gemma":[0.1952165,0.3392557,0.01385637,0.3709982,0.006346077,0.000124207,0.001599936,0.0003485389,0.07225443],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.105473,"threshold_uncertainty_score":0.7652641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1223812064941792,"score_gpt":0.2421026488581589,"score_spread":0.1197214423639797,"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."}}