{"id":"W7036014483","doi":"","title":"ADPIC et brevets pharmaceutiques: le difficile accès des pays en développement aux médicaments?","year":2010,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Research methodology; Context (archaeology)","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":[0.006657443,0.0004985846,0.0007834149,0.001343559,0.005542721,0.01810347,0.001756851,0.004802832,0.02797123],"category_scores_gemma":[0.01132939,0.000491903,0.0007090836,0.00253095,0.00593387,0.006065092,0.006225633,0.00701592,0.002989452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01156829,"about_ca_system_score_gemma":0.02294718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06236342,"about_ca_topic_score_gemma":0.0565658,"domain_scores_codex":[0.9907662,0.002872682,0.0005062858,0.001177789,0.003060306,0.001616775],"domain_scores_gemma":[0.9937919,0.001494148,0.0009331212,0.0004504944,0.002007268,0.001323173],"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":[0.0006609581,0.0001807112,0.01732106,0.001559251,0.0001118388,0.0007350674,0.007192163,0.0007162569,0.001949804,0.6937807,0.07916916,0.196623],"study_design_scores_gemma":[0.00004577691,0.0001932124,0.02109545,0.001180663,0.00004542517,0.0005342722,0.004560382,0.0002728631,0.0007040983,0.02311189,0.9482096,0.00004632791],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08177922,0.1184722,0.006487822,0.2770257,0.005311135,0.0001413826,0.000844349,0.0002389009,0.5096993],"genre_scores_gemma":[0.5803048,0.05270738,0.005314435,0.07128032,0.001984284,0.0002520028,0.0008882307,0.0002029713,0.2870655],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06236342,"threshold_uncertainty_score":0.1240008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179270067850188,"score_gpt":0.2045969352678781,"score_spread":0.1928042345893762,"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."}}