{"id":"W1865834167","doi":"10.5596/c15-007","title":"Developing a Provincial Centralized Intake Process for a Knowledge Resource Service Part 2: Article Requests","year":2015,"lang":"en","type":"article","venue":"Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Resource (disambiguation); Service (business); Business; Process (computing); Knowledge management; Process management; Computer science; Marketing; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0219784,0.0006323921,0.000858249,0.005186499,0.007472453,0.007927228,0.003535445,0.001349537,0.09179141],"category_scores_gemma":[0.03780678,0.001889653,0.000855354,0.00719293,0.001687727,0.003719404,0.006211756,0.002409793,0.04127429],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03981853,"about_ca_system_score_gemma":0.2078232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6021436,"about_ca_topic_score_gemma":0.6384272,"domain_scores_codex":[0.983836,0.004210676,0.001208201,0.001890466,0.006351113,0.002503512],"domain_scores_gemma":[0.9439557,0.007302996,0.002522203,0.006199288,0.03198902,0.008030776],"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":[0.0007245602,0.001701295,0.02960091,0.0006337096,0.00004141071,0.0003123865,0.01275248,0.003965378,0.01288481,0.01481925,0.351694,0.5708699],"study_design_scores_gemma":[0.000361373,0.0005020471,0.05148844,0.0003967939,0.00006035194,0.0001671154,0.01162996,0.02010114,0.01518393,0.004370999,0.8954504,0.0002875421],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07726348,0.0002836192,0.379923,0.01750981,0.0006902652,0.08093779,0.02435055,0.05690632,0.3621352],"genre_scores_gemma":[0.1571204,0.0003034531,0.5411461,0.002194163,0.0001617879,0.01463685,0.0113555,0.004269937,0.2688118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9920728,"threshold_uncertainty_score":0.8003988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01847078795464572,"score_gpt":0.2629613515933413,"score_spread":0.2444905636386956,"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."}}