{"id":"W4386254086","doi":"10.1007/s40319-023-01373-0","title":"Public Biological Databases and the Sui Generis Database Right","year":2023,"lang":"en","type":"article","venue":"GRURRR. Gewerblicher Rechtsschutz und Urheberrecht, Rechtsprechungs-Report/GRUR-DVD/GRUR-CD/IIC/Gewerblicher Rechtsschutz und Urheberrecht/Gewerblicher Rechtsschutz und Urheberrecht. Internationaler Teil","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Toronto","funders":"","keywords":"Intellectual property; Downstream (manufacturing); Legislature; Database; European union; Active database; Business; Political science; Law; International trade; Computer science; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0956018,0.0003472216,0.0007759188,0.001570543,0.005338898,0.01705743,0.002364398,0.01603403,0.01131163],"category_scores_gemma":[0.1231593,0.0006255401,0.0007438255,0.00170838,0.02692165,0.01071162,0.01019892,0.01523502,0.002511861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005556084,"about_ca_system_score_gemma":0.0154219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003302441,"about_ca_topic_score_gemma":0.002823602,"domain_scores_codex":[0.9005651,0.06520054,0.004625003,0.006306509,0.01925238,0.004050417],"domain_scores_gemma":[0.7415369,0.2125748,0.007786717,0.02085252,0.012268,0.004981142],"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":[0.00001883864,0.00001413665,0.0003720887,0.00002750173,0.000004343321,0.00006612459,0.0005591676,0.00007604038,0.00009728476,0.9770263,0.01579669,0.00594146],"study_design_scores_gemma":[0.00006435831,0.00005383906,0.0009631736,0.0006768348,0.00002504733,0.0003728628,0.0007967509,0.0007128798,0.0008491276,0.7283899,0.2670479,0.00004739334],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01628637,0.007294075,0.03584885,0.4988679,0.002449666,0.00019762,0.0006058285,0.0001472577,0.4383023],"genre_scores_gemma":[0.6674373,0.005185039,0.02146448,0.2335749,0.004752994,0.0009257194,0.0006641563,0.0002168365,0.06577861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9829426,"threshold_uncertainty_score":0.5055966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3923460988588158,"score_gpt":0.487211867357969,"score_spread":0.09486576849915318,"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."}}