{"id":"W3126039589","doi":"10.5281/zenodo.18201071","title":"Citation Advantage of Open Access Articles","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Citation; Bibliometrics; Scholarly communication; Citation analysis; Open science; Library science; Medicine; Political science; Computer science; Publishing","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002438804,0.001392208,0.002140759,0.02423938,0.001978591,0.008211476,0.001189352,0.001450695,0.6668035],"category_scores_gemma":[0.01642422,0.0005731117,0.001490439,0.02133982,0.0003322598,0.004221487,0.003533068,0.001604189,0.3500862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179611,"about_ca_system_score_gemma":0.002037245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003302567,"about_ca_topic_score_gemma":0.005879293,"domain_scores_codex":[0.997941,0.00009573856,0.0001504848,0.0002208345,0.001270702,0.0003213056],"domain_scores_gemma":[0.9890729,0.001171723,0.0007632585,0.001494168,0.00508008,0.002417859],"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":[0.000236323,0.00006321423,0.0008865821,0.000695788,0.00004465084,0.00007488605,0.00004327204,0.00005347028,0.001287463,0.002042713,0.9361742,0.05839753],"study_design_scores_gemma":[0.0001767477,0.0001145171,0.02413172,0.0002940579,0.00009932165,0.0002293165,0.0001357253,0.000384256,0.002352435,0.002958421,0.9690493,0.00007422917],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01126232,0.002433745,0.002336614,0.004982047,0.01781123,0.0004347701,0.5203049,0.01758229,0.4228522],"genre_scores_gemma":[0.04566832,0.002739288,0.009610835,0.0006660396,0.007415813,0.0004597823,0.3273558,0.006456835,0.5996273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9975612,"threshold_uncertainty_score":0.4752644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6260760814279249,"score_gpt":0.6279675711060868,"score_spread":0.001891489678161884,"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."}}