{"id":"W1521319765","doi":"10.1108/00012530910989607","title":"Institutional repositories in Canadian post‐secondary institutions","year":2009,"lang":"en","type":"article","venue":"Aslib Proceedings","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Directory; World Wide Web; Computer science; Originality; Subject (documents); Information retrieval; Interface (matter); Value (mathematics); User interface; Heading (navigation); Knowledge organization; Political science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","scholarly_communication"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.006165817,0.0001367045,0.000210551,0.04300865,0.0005657127,0.002291649,0.001481221,0.0001451543,0.0002395291],"category_scores_gemma":[0.02079546,0.000109335,0.00008036209,0.09823056,0.0001973679,0.001968752,0.0001349621,0.0004031845,0.0002744565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005064984,"about_ca_system_score_gemma":0.003230344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04320321,"about_ca_topic_score_gemma":0.02489701,"domain_scores_codex":[0.9946055,0.00001482787,0.0005815906,0.0006022735,0.003404689,0.0007910489],"domain_scores_gemma":[0.9959077,0.0002317781,0.0001086717,0.0002198364,0.002730655,0.0008014055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003161769,0.0001911811,0.4229145,0.000006816871,0.000008594204,0.0001332159,0.000914722,0.00002241199,0.002768975,0.4169685,0.04241956,0.1136199],"study_design_scores_gemma":[0.0002519926,0.0001180768,0.6765642,0.00001103817,0.000001471455,0.00005086652,0.0002999589,0.0002321072,0.0005059795,0.01381943,0.307985,0.0001598017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7411547,0.000357962,0.00003287419,0.007258455,0.0005443787,0.0001794467,0.00002383362,0.0000324588,0.2504159],"genre_scores_gemma":[0.9968365,0.00003367358,0.0005619035,0.001011364,0.0001448607,0.000008685108,0.000006635314,0.000004130261,0.001392272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4031491,"threshold_uncertainty_score":0.9987441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3582289239357301,"score_gpt":0.5153858212926363,"score_spread":0.1571568973569062,"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."}}