{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.000266939,0.00008852335,0.00009129364,0.0005185035,0.004431678,0.004665837,0.0006728994,0.00008953054,0.001839189],"category_scores_gemma":[0.0008107584,0.00009497128,0.00003187633,0.0005913192,0.000493354,0.04627675,0.00003960426,0.000111165,0.0001410059],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000138712,"about_ca_system_score_gemma":0.03052206,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4237146,"about_ca_topic_score_gemma":0.1400187,"domain_scores_codex":[0.9989759,0.00007563324,0.0002332958,0.0001631201,0.0001927087,0.0003593977],"domain_scores_gemma":[0.9989417,0.00005796296,0.0001536578,0.0003883733,0.00008589766,0.0003723639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001884707,0.0000444586,0.07228512,0.000003915671,0.000001375496,9.017838e-8,0.01830081,0.000001166419,6.108324e-7,0.7507905,0.1488891,0.009681049],"study_design_scores_gemma":[0.00004237012,0.000005963664,0.1030302,0.00002346479,0.000001286767,4.57672e-7,0.01470186,0.000009900224,0.00004424325,0.04025207,0.8417809,0.0001072719],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03866467,0.0002689904,0.000006855545,0.06958392,0.003978807,0.0003116696,0.000009399943,0.00007385045,0.8871018],"genre_scores_gemma":[0.8233536,0.00006649768,0.001774842,0.00727369,0.0009178013,0.0001173579,0.00006825302,0.000009304414,0.1664187],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7846889,"threshold_uncertainty_score":0.9990733,"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."}}