{"id":"W4415115455","doi":"10.36948/ijfmr.2025.v07i05.57431","title":"Transforming Academic Libraries through Consortia: A Global Perspective on Shared Access and Collaboration","year":2025,"lang":"en","type":"article","venue":"International Journal For Multidisciplinary Research","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transformative learning; Digitization; Negotiation; Scholarly communication; Corporate governance; Best practice; Digital library; Power (physics); Strategic planning","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0311138,0.0006100071,0.0006295912,0.005855937,0.01078746,0.03383559,0.002775118,0.005283471,0.009511985],"category_scores_gemma":[0.02642419,0.0004061749,0.0007949917,0.009407349,0.02564582,0.02872803,0.0307263,0.004624671,0.001554734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008745793,"about_ca_system_score_gemma":0.01860644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001620645,"about_ca_topic_score_gemma":0.001513417,"domain_scores_codex":[0.9597274,0.03148691,0.0008817596,0.001480383,0.002758369,0.003665134],"domain_scores_gemma":[0.9728032,0.01365045,0.002776293,0.003116836,0.002443753,0.005209533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005850467,0.0001043438,0.004954393,0.0003109233,0.00002378843,0.0007290971,0.07216483,0.000707569,0.0003147906,0.8472016,0.006856795,0.06657342],"study_design_scores_gemma":[0.00006803658,0.0002974746,0.003763259,0.0009221243,0.00005607739,0.0010062,0.1289679,0.001437168,0.0007126029,0.264528,0.5981621,0.00007908324],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1779948,0.01503877,0.04242117,0.1309525,0.001538486,0.0004505702,0.0001285025,0.0006390277,0.6308361],"genre_scores_gemma":[0.9612085,0.005363225,0.008002274,0.005158627,0.0006023946,0.0002404751,0.00008337029,0.00009249229,0.01924851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9661644,"threshold_uncertainty_score":0.1645475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1184302570972581,"score_gpt":0.4819293387223739,"score_spread":0.3634990816251158,"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."}}