{"id":"W2071180250","doi":"10.1108/02641611011025316","title":"Interlibrary loan services at Library and Archives Canada","year":2010,"lang":"en","type":"article","venue":"Interlending & Document Supply","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Interlibrary loan; Originality; Shared resource; Digital library; Institution; Resource (disambiguation); Business; Library science; World Wide Web; Loan; Computer science; Political science; Finance; Law; Computer security","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00002015549,0.0002174763,0.0001612842,0.0002169176,0.0002370865,0.00126858,0.0009242832,0.00004143243,0.0005167478],"category_scores_gemma":[0.000001964856,0.0001899575,0.00004605043,0.0002290657,0.00006504226,0.006636799,0.001443666,0.0001983088,0.00001288984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008748812,"about_ca_system_score_gemma":0.0001183071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006815923,"about_ca_topic_score_gemma":0.001759825,"domain_scores_codex":[0.9987059,0.00002973223,0.0002705224,0.0004524958,0.0002034921,0.0003378162],"domain_scores_gemma":[0.9991956,0.0001634009,0.00008736215,0.0003110157,0.000001860626,0.0002407169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002117856,0.0001029542,0.5986274,0.0002402842,0.0002118019,0.0003159499,0.008174166,0.000004004433,0.01050281,0.1858517,0.04014537,0.1556117],"study_design_scores_gemma":[0.0005713782,0.0001232242,0.05416005,0.0001447751,0.000006188419,0.0001624042,0.0002722819,0.001457233,0.05453455,0.0121707,0.8757488,0.0006484088],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9122425,0.0001716956,0.0002608943,0.006268364,0.001121672,0.0001692171,0.000008059333,0.0003653688,0.07939221],"genre_scores_gemma":[0.9552143,0.00003891339,0.006290095,0.001580623,0.00009235652,0.0000180767,0.00002335215,0.0000191439,0.03672317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8356034,"threshold_uncertainty_score":0.9997682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002502257294732514,"score_gpt":0.1680935117509856,"score_spread":0.1655912544562531,"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."}}