{"id":"W2124995107","doi":"10.2471/blt.09.064659","title":"Open access: a giant leap towards bridging health inequities","year":2009,"lang":"en","type":"article","venue":"Bulletin of the World Health Organization","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Warwick; University of Southampton","keywords":"Bridging (networking); Public health; Health equity; Public relations; Political science; Medicine; Computer science; Computer security; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["open_science"],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["scholarly_communication"],"domain":null,"study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.03721351,0.0006070518,0.0007979509,0.004525103,0.00568485,0.01706017,0.003068731,0.008089226,0.05194325],"category_scores_gemma":[0.06541655,0.0004410101,0.0008448633,0.003296562,0.01895717,0.03703348,0.02861691,0.007585741,0.004032844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003574174,"about_ca_system_score_gemma":0.01559632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003317358,"about_ca_topic_score_gemma":0.003492435,"domain_scores_codex":[0.9787224,0.009083905,0.0009623496,0.001204103,0.007356185,0.002671036],"domain_scores_gemma":[0.8766578,0.06763808,0.005650212,0.01865892,0.01175463,0.0196404],"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":[0.00007849985,0.0001659404,0.0029637,0.0007692279,0.00004432181,0.0003049803,0.005600336,0.0002664299,0.0007443854,0.6174425,0.1130217,0.2585981],"study_design_scores_gemma":[0.00002413419,0.0000861185,0.002590421,0.001123398,0.00001647227,0.0003484551,0.005811072,0.0003397379,0.000366485,0.4279598,0.561284,0.00004990763],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01407794,0.01709197,0.0321195,0.7933201,0.006327635,0.00009013598,0.0003328707,0.0008327293,0.1358072],"genre_scores_gemma":[0.6552067,0.03103642,0.05500699,0.1494283,0.02602821,0.0003869361,0.0008516651,0.001149839,0.080905],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9969313,"threshold_uncertainty_score":0.1968063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.154399671463718,"score_gpt":0.5057955029556225,"score_spread":0.3513958314919045,"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."}}