{"id":"W7154629500","doi":"10.5281/zenodo.19600845","title":"Preventing link rot in Concordia University Press's open-access scholarly books with Perma.cc","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Process (computing); Link (geometry); The Internet; Link analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.04096415,0.0009078048,0.001273427,0.006981062,0.01014983,0.023577,0.004413923,0.00337827,0.07668006],"category_scores_gemma":[0.1933565,0.001630411,0.0009132887,0.009603341,0.00717679,0.02242201,0.02064094,0.004389983,0.05641922],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002588636,"about_ca_system_score_gemma":0.0129637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006069417,"about_ca_topic_score_gemma":0.009934416,"domain_scores_codex":[0.9541481,0.01353854,0.002682141,0.002449489,0.02473665,0.002445078],"domain_scores_gemma":[0.7596355,0.05868474,0.01953858,0.1022639,0.04574895,0.01412839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006497109,0.001297042,0.0136954,0.0007611039,0.00004148471,0.001046553,0.00980245,0.0008763528,0.005120329,0.02414546,0.3165839,0.6259802],"study_design_scores_gemma":[0.0001142755,0.0005867338,0.01617543,0.0006858439,0.00004361506,0.0008689336,0.004661935,0.001339542,0.01383306,0.005558815,0.9559051,0.000226712],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.2417835,0.00335244,0.1221175,0.02416907,0.006023637,0.0101639,0.003275356,0.118156,0.4709587],"genre_scores_gemma":[0.32232,0.002651968,0.1772901,0.004218383,0.002038984,0.003910916,0.007096347,0.03325113,0.4472221],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9974114,"threshold_uncertainty_score":0.2565204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04849802172418626,"score_gpt":0.2601108307713972,"score_spread":0.2116128090472109,"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."}}