{"id":"W7073551630","doi":"","title":"Biomedical patents and ethics: a Canadian solution","year":2000,"lang":"en","type":"other","venue":"DigitalGeorgetown (Georgetown University Library)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Patentability; Incentive; Intellectual property; Position (finance); Process (computing); Subject (documents); Ethical issues; Bioethics; Power (physics)","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0001930023,0.001298235,0.001115263,0.004063001,0.0005877113,0.000468873,0.00139363,0.002752613,0.01374829],"category_scores_gemma":[0.00009480701,0.001495979,0.000368289,0.001875274,0.001511924,0.001998193,0.0006333253,0.001922575,0.006222886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003573809,"about_ca_system_score_gemma":0.002434288,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06573076,"about_ca_topic_score_gemma":0.0334255,"domain_scores_codex":[0.9943316,0.0004068398,0.0005008577,0.001805671,0.00104097,0.001914061],"domain_scores_gemma":[0.9954153,0.0001551225,0.0004047497,0.001137712,0.00004385891,0.002843258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001051546,0.0001720926,0.001903303,0.00013996,0.0003781636,0.001014808,0.0002373793,3.475126e-7,0.00002214243,0.001340813,0.9914604,0.003225411],"study_design_scores_gemma":[0.001309493,0.0001075606,0.0007684876,0.0005376647,0.0001956959,0.00004625082,0.0002024264,0.00003560905,0.00002423868,0.0004072147,0.9947477,0.001617681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007096907,0.0005877925,0.0000161141,0.004954742,0.0005511059,0.0009548077,0.01500533,0.00293848,0.9742819],"genre_scores_gemma":[0.005378876,0.00132464,0.0007783758,0.0006838067,0.0004458439,0.000003814385,0.009466165,0.002155432,0.979763],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03230525,"threshold_uncertainty_score":0.9999769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209966303566867,"score_gpt":0.1858636607649973,"score_spread":0.1737639977293286,"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."}}