{"id":"W4287777058","doi":"10.48550/arxiv.2005.09381","title":"Open Access effect on uncitedness: A large-scale study controlling by\\n discipline, source type and visibility","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visibility; Subject (documents); Quartile; Scopus; Percentile; Quarter (Canadian coin); Computer science; Statistics; Mathematics; World Wide Web; Political science; History; Geography; 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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007482337,0.0003053018,0.000679159,0.00360236,0.0008658536,0.002751913,0.001391731,0.0009587498,0.007592083],"category_scores_gemma":[0.04582827,0.0001992224,0.001588736,0.008172485,0.001386908,0.002706169,0.002396082,0.001258763,0.001248137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005115892,"about_ca_system_score_gemma":0.0008622326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009342036,"about_ca_topic_score_gemma":0.008265842,"domain_scores_codex":[0.9934549,0.002250311,0.000708939,0.00137235,0.001465982,0.0007475027],"domain_scores_gemma":[0.8464994,0.08507577,0.04465308,0.01077993,0.004388733,0.008603112],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004884654,0.0001555926,0.9904759,0.00008761949,0.0007386852,0.0002139364,0.0009417823,0.0003023653,0.0002566412,0.0004775714,0.0004833905,0.005377992],"study_design_scores_gemma":[0.000009871233,0.0001895954,0.9967939,0.00002269363,0.0002256261,0.0001034159,0.0006354969,0.0005776688,0.000243321,0.0002865499,0.0008993283,0.00001255849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934389,0.001033231,0.001121287,0.0002354893,0.00003014248,0.00002581129,0.001295152,0.00003883978,0.002781157],"genre_scores_gemma":[0.9975171,0.0001945258,0.0001781401,0.00003217137,0.00004175834,0.00001532059,0.0008127757,0.00002500863,0.001183198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9963976,"threshold_uncertainty_score":0.03957087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6244240785590196,"score_gpt":0.4855437975336719,"score_spread":0.1388802810253477,"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."}}