{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008175435,0.0007475897,0.0009733179,0.009049208,0.002831916,0.01496034,0.001373395,0.005159356,0.0154384],"category_scores_gemma":[0.0176941,0.000383272,0.000825744,0.007823273,0.01048481,0.0185519,0.003820966,0.006651193,0.002283677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003812521,"about_ca_system_score_gemma":0.003093654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001964983,"about_ca_topic_score_gemma":0.001113162,"domain_scores_codex":[0.9950923,0.001375844,0.0003493017,0.001476733,0.001200343,0.0005053981],"domain_scores_gemma":[0.9748142,0.01583322,0.002182256,0.00228166,0.00383614,0.00105249],"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":[0.00002325056,0.00002685595,0.00142899,0.0003188282,0.00002833526,0.0002281581,0.0005843804,0.0005580663,0.0002984607,0.9073027,0.01043767,0.07876436],"study_design_scores_gemma":[0.0000130069,0.00009132182,0.006231029,0.00119188,0.00007299861,0.001116737,0.001314797,0.001080097,0.0008192919,0.5186962,0.4693192,0.00005354599],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02710303,0.1684688,0.05373936,0.1226346,0.002196006,0.00006989558,0.0009373783,0.0003135625,0.6245374],"genre_scores_gemma":[0.6795723,0.2210862,0.02325506,0.02469688,0.009405202,0.0001538589,0.0009131253,0.0003000707,0.04061736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9971681,"threshold_uncertainty_score":0.05164659,"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."}}