{"id":"W2061055568","doi":"10.1108/07419051111173865","title":"Sharing digital resources globally: the China‐North America Library Conference","year":2011,"lang":"en","type":"article","venue":"Library Hi Tech News","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Shared resource; Digital library; Theme (computing); Resource (disambiguation); Beijing; World Wide Web; Originality; Computer science; Scale (ratio); Information sharing; Library science; Knowledge management; Political science; Geography","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":[0.005652788,0.0006815299,0.000576861,0.00211544,0.01794437,0.01336209,0.002034645,0.002835746,0.02767741],"category_scores_gemma":[0.0039186,0.000355925,0.000492643,0.007282942,0.003341568,0.005639416,0.01185598,0.003655673,0.001331263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01994718,"about_ca_system_score_gemma":0.03871958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1684059,"about_ca_topic_score_gemma":0.3848148,"domain_scores_codex":[0.9961832,0.0009134278,0.000098927,0.0002691511,0.0009573892,0.001577859],"domain_scores_gemma":[0.9934165,0.0007607079,0.0003527005,0.000302034,0.0008259441,0.004342173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005044512,0.0005192431,0.03615845,0.001554348,0.0001139765,0.004407017,0.08338732,0.0008812551,0.001674653,0.04760268,0.6225373,0.2006593],"study_design_scores_gemma":[0.00003031882,0.0001073008,0.06316683,0.0003270301,0.00002743569,0.000410608,0.0793228,0.000227606,0.0006405205,0.001645003,0.8540087,0.00008584317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3553024,0.0414821,0.0008359986,0.1473886,0.006101875,0.0004233424,0.001127439,0.0002768637,0.4470614],"genre_scores_gemma":[0.7470288,0.01110237,0.0008982533,0.01066789,0.001308879,0.0003543523,0.001319812,0.0001320185,0.2271876],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9866379,"threshold_uncertainty_score":0.3348513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03384087879887559,"score_gpt":0.1723515173837281,"score_spread":0.1385106385848525,"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."}}