{"id":"W2089604928","doi":"10.1371/journal.pbio.0040157","title":"Citation Advantage of Open Access Articles","year":2006,"lang":"en","type":"article","venue":"PLoS Biology","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":830,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Citation; Confidence interval; Confounding; Logistic regression; Bibliometrics; Demography; Relative risk; Medicine; Library science; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007155688,0.001270748,0.002425825,0.01949853,0.002338771,0.01535299,0.002753477,0.002425374,0.2736974],"category_scores_gemma":[0.03507226,0.0006293419,0.001844462,0.0263345,0.00112625,0.005726357,0.005924292,0.002145036,0.09373963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153245,"about_ca_system_score_gemma":0.006333802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135212,"about_ca_topic_score_gemma":0.00198615,"domain_scores_codex":[0.9936021,0.0008535099,0.001119399,0.0008204317,0.002612577,0.0009919844],"domain_scores_gemma":[0.9664139,0.005989019,0.005410556,0.006045898,0.009269956,0.006870595],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005445083,0.0002666026,0.01553557,0.005124585,0.0005133988,0.002018975,0.0007390843,0.0003528601,0.003007842,0.0351125,0.6403221,0.296462],"study_design_scores_gemma":[0.0001584271,0.00007065851,0.01476921,0.0007306554,0.0001486974,0.001187266,0.0003610992,0.0003602613,0.0007899583,0.009206591,0.9721377,0.00007939502],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05944998,0.03075107,0.01495615,0.02294081,0.05309745,0.002124676,0.141325,0.008118743,0.6672361],"genre_scores_gemma":[0.2226761,0.02129723,0.02324967,0.005012569,0.02277342,0.001576804,0.1227873,0.002786618,0.5778403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9928443,"threshold_uncertainty_score":0.9156091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8228296145688352,"score_gpt":0.6782495007557224,"score_spread":0.1445801138131128,"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."}}