{"id":"W2247729650","doi":"","title":"バイオインフォマティクスと特許性の問題 = Bioinformatics materials and issue of patentability","year":2014,"lang":"ja","type":"article","venue":"SSRN Electronic Journal","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Conestoga College","funders":"","keywords":"Patentability; Harmonization; Patentable subject matter; Subject matter; Patent law; Biotechnology; Engineering; Political science; Intellectual property; Data science; Bioinformatics; Biology; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.04004796,0.0003500742,0.0009017881,0.0003757588,0.0004350637,0.001480598,0.002473049,0.0004051457,0.0006318754],"category_scores_gemma":[0.005864567,0.0002535812,0.0001615055,0.0006426533,0.0004255856,0.002869999,0.0005375823,0.002704124,0.0001820282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000393908,"about_ca_system_score_gemma":0.001901821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000318194,"about_ca_topic_score_gemma":0.000123558,"domain_scores_codex":[0.992,0.0008990543,0.002302258,0.0004458484,0.001644217,0.002708559],"domain_scores_gemma":[0.9958128,0.0009088558,0.001804944,0.0006228234,0.0005337535,0.0003167843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005939775,0.0003676859,0.05362469,0.0002481262,0.0005567569,0.000002914525,0.007400133,0.00005401257,0.003485215,0.07852867,0.01137335,0.8437645],"study_design_scores_gemma":[0.004117908,0.00208646,0.02094494,0.0003934351,0.0003563122,0.001526619,0.04686489,0.004254829,0.009406034,0.851388,0.05725374,0.001406834],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816188,0.002596139,0.007298272,0.003566917,0.001661991,0.0002492924,0.00004595817,0.0000203888,0.002942289],"genre_scores_gemma":[0.9899826,0.006350296,0.0003883817,0.0003098924,0.0006405048,0.000001930912,0.000004716697,0.0000229513,0.002298705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8423576,"threshold_uncertainty_score":0.9999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336853030661419,"score_gpt":0.3225282003494653,"score_spread":0.2991596700428512,"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."}}