{"id":"W2753552288","doi":"10.26443/el.v22i1-2.125","title":"EDUCATION COLLECTIONS IN CANADIAN LIBRARIES","year":2017,"lang":"en","type":"article","venue":"Education Libraries","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Complement (music); Library science; Political science; Educational resources; World Wide Web; Computer science; Sociology; Pedagogy; Biology","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":[0.002141428,0.0005577602,0.0004453303,0.01650085,0.02153845,0.0102576,0.002147065,0.0007621443,0.04978682],"category_scores_gemma":[0.01160609,0.0005692977,0.0005142684,0.03887906,0.002520234,0.003736909,0.007603846,0.001188467,0.003262456],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.118217,"about_ca_system_score_gemma":0.1723237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9912643,"about_ca_topic_score_gemma":0.9974475,"domain_scores_codex":[0.9940112,0.0004572686,0.0002297603,0.0004311939,0.002455313,0.002415163],"domain_scores_gemma":[0.989106,0.0007913024,0.000724212,0.0004227727,0.005823888,0.00313189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002829614,0.0001059255,0.07529094,0.00173228,0.00008182019,0.002052094,0.05844884,0.0007522868,0.001294324,0.07954091,0.4071578,0.3732599],"study_design_scores_gemma":[0.00001066978,0.00001263318,0.1004408,0.0004826627,0.00003190401,0.0003400023,0.03351987,0.0001314218,0.0004889328,0.001029991,0.8634467,0.00006449338],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1862439,0.01879531,0.001201151,0.01639699,0.0009403143,0.0004142097,0.01832387,0.0007767609,0.7569075],"genre_scores_gemma":[0.679193,0.01634738,0.002737584,0.003399219,0.0002428406,0.0001351107,0.0101269,0.0003032068,0.2875149],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9897424,"threshold_uncertainty_score":0.8577284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851987939485571,"score_gpt":0.312269089278067,"score_spread":0.2937492098832113,"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."}}