{"id":"W4388890968","doi":"10.48550/arxiv.2311.11140","title":"The state of OAI-PMH repositories in Canadian Universities","year":2023,"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":"Metadata; World Wide Web; Computer science; Rendering (computer graphics); State (computer science); Data science","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":["bibliometrics","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.009354251,0.0004317245,0.000908388,0.03120421,0.01310922,0.01586349,0.003522668,0.001165772,0.005089981],"category_scores_gemma":[0.05378,0.0006533138,0.000716998,0.09328984,0.004394476,0.005365479,0.005894588,0.001079193,0.0007742506],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1349901,"about_ca_system_score_gemma":0.1727182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9910782,"about_ca_topic_score_gemma":0.9933803,"domain_scores_codex":[0.9789692,0.001638737,0.001619467,0.002095942,0.01085135,0.004825338],"domain_scores_gemma":[0.9288792,0.008916431,0.01109526,0.003824125,0.04086228,0.00642265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004580923,0.000110256,0.600122,0.001914892,0.0002305182,0.0007022277,0.05608718,0.001888166,0.001618416,0.09011357,0.0458575,0.2008972],"study_design_scores_gemma":[0.00002304881,0.00005197733,0.6585344,0.001354147,0.0001652076,0.0003790882,0.0659434,0.002387566,0.00196562,0.002939537,0.2659397,0.0003163356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.787539,0.01514481,0.003589456,0.01963541,0.0002081679,0.0004771388,0.06603275,0.000726685,0.1066466],"genre_scores_gemma":[0.9683104,0.005717372,0.00370555,0.0007743494,0.0000434059,0.0001195564,0.01157224,0.0001205272,0.009636608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9841365,"threshold_uncertainty_score":0.9794261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5636661843411337,"score_gpt":0.3948142269604985,"score_spread":0.1688519573806352,"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."}}