{"id":"W3095015631","doi":"10.5206/elip.v3i1.8575","title":"An Exploration of Canadian LIS Programs","year":2020,"lang":"en","type":"article","venue":"Emerging Library & Information Perspectives","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Library science; Inclusion (mineral); Diversity (politics); Higher education; Political science; Equity (law); Sociology; Public relations; Computer science; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.003309438,0.000330387,0.0003490837,0.007593854,0.02387689,0.006748677,0.001337055,0.0009602192,0.009565126],"category_scores_gemma":[0.007368406,0.0003783601,0.0003140395,0.01727604,0.004299104,0.002445864,0.005470813,0.001371958,0.0005591505],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08230074,"about_ca_system_score_gemma":0.1250959,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9404764,"about_ca_topic_score_gemma":0.9745651,"domain_scores_codex":[0.9965796,0.0008568382,0.0000914749,0.0002615817,0.001079615,0.001130864],"domain_scores_gemma":[0.9921895,0.002638308,0.000483723,0.0001852489,0.002413348,0.002089784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009505992,0.000127802,0.03419414,0.0007270604,0.00001097257,0.002015971,0.8243024,0.0001814869,0.001088604,0.02662252,0.02980087,0.08083309],"study_design_scores_gemma":[0.000004058787,0.00003172059,0.03985759,0.0003534177,0.00001017801,0.0001852088,0.7337453,0.0002013093,0.0003144981,0.0005111687,0.2247542,0.00003139804],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.825713,0.001321922,0.001060111,0.009055201,0.0001177321,0.0003664191,0.002814092,0.0001120033,0.1594395],"genre_scores_gemma":[0.9626763,0.001975644,0.001660343,0.001560694,0.00002815499,0.0002383746,0.001177931,0.00007002422,0.03061264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9932513,"threshold_uncertainty_score":0.5971364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04388245638337091,"score_gpt":0.282828761283329,"score_spread":0.2389463048999581,"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."}}