{"id":"W1992930423","doi":"10.3163/1536-5050.95.2.189","title":"Interlibrary loan in US and Canadian health sciences libraries 2005: update on journal article use","year":2007,"lang":"en","type":"article","venue":"Journal of the Medical Library Association JMLA","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine","keywords":"Interlibrary loan; Library science; Medical library; Publishing; National library; Political science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002417712,0.0001187157,0.0002210753,0.0006112328,0.000397757,0.001989216,0.00103888,0.0001014846,0.00013351],"category_scores_gemma":[0.0009411302,0.00007612021,0.00008868345,0.00107299,0.0000960313,0.01049512,0.0002437752,0.0006151556,0.000006672811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001804966,"about_ca_system_score_gemma":0.002527253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008809454,"about_ca_topic_score_gemma":0.0004104994,"domain_scores_codex":[0.9972287,0.0002998452,0.0007341767,0.000145353,0.001113619,0.0004783131],"domain_scores_gemma":[0.9977271,0.0006668389,0.0006355172,0.0001063981,0.00002722568,0.0008369191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006229961,0.00009915262,0.7784943,0.000005490779,0.00004318706,0.000166019,0.0009063846,0.0000513247,0.000002060494,0.01771503,0.183442,0.01901274],"study_design_scores_gemma":[0.00097794,0.0002753839,0.7497787,0.0002778992,0.00000309381,0.0002954804,0.0001171656,0.001303741,0.000321219,0.01235811,0.2341002,0.0001910305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7859376,0.0007193343,0.0006545255,0.2054677,0.001672638,0.0001212007,0.000004159906,0.00004019434,0.005382648],"genre_scores_gemma":[0.9530323,0.0004336608,0.005310004,0.03666332,0.0005132417,6.138847e-7,0.000001244005,0.00001497759,0.004030705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1688043,"threshold_uncertainty_score":0.9990468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023951425294349,"score_gpt":0.2200872612835026,"score_spread":0.2098477470305591,"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."}}