{"id":"W4319317862","doi":"10.1007/s40319-023-01284-0","title":"Brain Patents as a Legal or Societal Challenge?","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":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Institute of Neurosciences, Mental Health and Addiction; Rheinische Friedrich-Wilhelms-Universität Bonn; Bundesministerium für Bildung und Forschung","keywords":"Flagging; Scope (computer science); Competence (human resources); Patent law; Position (finance); Business; Law and economics; Human rights; Dimension (graph theory); Enforcement; Political science; Law; Intellectual property; Economics; Management; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01979383,0.0003472946,0.0008124444,0.002692362,0.006010862,0.0217483,0.002132699,0.02459081,0.01545764],"category_scores_gemma":[0.05549721,0.0002434275,0.0005055047,0.001940495,0.02701913,0.02034287,0.005439536,0.01192349,0.002243855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005988845,"about_ca_system_score_gemma":0.01074406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003048706,"about_ca_topic_score_gemma":0.002627023,"domain_scores_codex":[0.9870808,0.004583509,0.0006845682,0.001857175,0.00378892,0.002005062],"domain_scores_gemma":[0.9574459,0.0295124,0.003008624,0.002244931,0.005102639,0.002685545],"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":[0.000005260903,0.00001200969,0.0001389143,0.00003906092,0.000002745046,0.0001626871,0.0003950467,0.00006493564,0.00008456404,0.9649546,0.02375751,0.01038271],"study_design_scores_gemma":[0.00001125555,0.000028468,0.0005036175,0.0004821646,0.000008937876,0.0004770414,0.001951009,0.0003523421,0.000219127,0.7710516,0.2248838,0.00003061072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005692097,0.01451933,0.00234807,0.8334914,0.002313308,0.00001647448,0.00008134127,0.00004567124,0.1414924],"genre_scores_gemma":[0.7063151,0.02547432,0.00427309,0.2004878,0.01874441,0.0001512146,0.0001636049,0.0001016478,0.04428876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9939891,"threshold_uncertainty_score":0.104681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178782540294401,"score_gpt":0.4000569215205976,"score_spread":0.2821786674911574,"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."}}