{"id":"W2073293020","doi":"10.1503/cmaj.109-4466","title":"Drug patents: the evergreening problem","year":2013,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tweaking; Drug industry; Computer science; Internet privacy; World Wide Web; Data science; Advertising; Business; Engineering; Engineering ethics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03654378,0.001328433,0.002844092,0.006469246,0.003941043,0.01361883,0.005107753,0.0154379,0.03671564],"category_scores_gemma":[0.07566344,0.0007994465,0.001699891,0.006640462,0.01299115,0.04453295,0.005174759,0.01672263,0.01343071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006512675,"about_ca_system_score_gemma":0.008212602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00421535,"about_ca_topic_score_gemma":0.003347742,"domain_scores_codex":[0.9842985,0.002847514,0.0007576905,0.002735569,0.008507919,0.0008528451],"domain_scores_gemma":[0.9236032,0.04570794,0.003639209,0.006712272,0.01507585,0.005261559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001210788,0.000125719,0.001418642,0.0004773091,0.00006119818,0.0004010657,0.0003326293,0.0006042758,0.0003816885,0.4423358,0.3192109,0.2345296],"study_design_scores_gemma":[0.00006892838,0.00006611037,0.0009238183,0.0007745928,0.00003887207,0.001261778,0.0005153549,0.001204254,0.00024973,0.4268582,0.5679885,0.00004989349],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004964971,0.0963896,0.01855903,0.7416506,0.00809003,0.00007854559,0.0009182207,0.0007505044,0.1285985],"genre_scores_gemma":[0.2396599,0.2027299,0.02494002,0.3753837,0.04614604,0.0003533966,0.001355302,0.001204788,0.1082271],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03671564,"threshold_uncertainty_score":0.1932642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307195155501261,"score_gpt":0.2611970635787336,"score_spread":0.248125112023721,"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."}}