{"id":"W2897282897","doi":"10.5912/jcb831","title":"Patenting Bioinformatic Inventions: Global Perspective","year":2018,"lang":"en","type":"article","venue":"Journal of Commercial Biotechnology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Patentability; Patentable subject matter; Subject matter; Subject (documents); European patent office; Perspective (graphical); Biotechnology; Engineering; Computer science; Business; Intellectual property; Biology; Political science; Patent law; Law; International trade; World Wide Web; Artificial intelligence","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":[0.000557653,0.000143754,0.0002415101,0.0001966742,0.00014672,0.00003691794,0.0005665278,0.0004381628,0.00004024748],"category_scores_gemma":[0.0009442465,0.0001172518,0.0001825268,0.0003226661,0.0008228372,0.00001277631,0.0003012378,0.0002814183,0.0000665124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008262708,"about_ca_system_score_gemma":0.000225365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000227892,"about_ca_topic_score_gemma":0.0000754008,"domain_scores_codex":[0.9985185,0.00005374603,0.0006309409,0.0001225011,0.0003090449,0.0003652393],"domain_scores_gemma":[0.9984706,0.00001324356,0.0003866677,0.0002727074,0.0007146756,0.0001421303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001277726,0.001017321,0.01317795,0.0001960809,0.001175593,0.00005751197,0.001011518,0.000006007646,0.2599032,0.02088653,0.07579873,0.6254919],"study_design_scores_gemma":[0.005315852,0.01697374,0.01726975,0.0002710449,0.0001996105,0.001575978,0.009902766,0.0006068881,0.4956818,0.02115114,0.4300064,0.001045024],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9547803,0.00110111,0.02390747,0.01049531,0.001339419,0.000252471,0.00003257626,0.00003026081,0.008061062],"genre_scores_gemma":[0.9923428,0.0007030149,0.005528045,0.0005915101,0.0007446601,0.000001743964,0.000008635138,0.00000877736,0.00007084874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6244469,"threshold_uncertainty_score":0.478139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02433703132021235,"score_gpt":0.3224344308211908,"score_spread":0.2980973995009785,"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."}}