{"id":"W2615594373","doi":"","title":"Open Access: A Giant Leap towards Bridging Health inequities/Acces Libre Aux Connaissances : Un Pas De Geant Vers le Comblement Des Inegalites En Matiere De sante/Acceso Libre: Un Paso De Gigante Para Resolver Las Inequidades Sanitarias","year":2009,"lang":"es","type":"article","venue":"Bulletin of the World Health Organization","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Library science; Free access; Political science; Health care; Access to information; Internet access; Business; Information access; World Wide Web; Computer science; Law","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.05401385,0.0009632871,0.001644605,0.005931412,0.00663374,0.03723686,0.004527574,0.01810987,0.09317111],"category_scores_gemma":[0.1320765,0.0007935537,0.001564388,0.005582159,0.02539905,0.05810275,0.02484304,0.01671782,0.01864983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004729446,"about_ca_system_score_gemma":0.02318066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002060986,"about_ca_topic_score_gemma":0.002695815,"domain_scores_codex":[0.9521939,0.02604381,0.003696081,0.00260429,0.01269074,0.00277119],"domain_scores_gemma":[0.6625103,0.2093998,0.01274615,0.0289586,0.02589322,0.06049189],"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":[0.00007206237,0.0001217919,0.001086785,0.002139425,0.00005004417,0.0004032055,0.00330763,0.0001363109,0.0004545582,0.1588043,0.5777997,0.2556242],"study_design_scores_gemma":[0.00002038446,0.00004879421,0.0005553047,0.002526446,0.00001871263,0.0004619168,0.003059216,0.0001534275,0.0001947611,0.08587831,0.9070251,0.00005756907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001100473,0.02777796,0.005855653,0.9055352,0.0161863,0.00006395591,0.0002313538,0.0007541826,0.04249493],"genre_scores_gemma":[0.08430754,0.1213891,0.04650173,0.4872588,0.1246287,0.0005217442,0.001296294,0.002745885,0.1313502],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9954724,"threshold_uncertainty_score":0.3116884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1289136311483275,"score_gpt":0.431523555586245,"score_spread":0.3026099244379175,"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."}}