{"id":"W2928787685","doi":"","title":"Treading Water: Results from the Longitudinal Study of Information Literacy Instruction in Canadian Academic Libraries, 1995–2017 / Comment faire du surplace : résultats de l'étude longitudinale sur la formation à la maîtrise informationnelle dans les bibliothèques universitaires canadiennes, 1995–2017","year":2019,"lang":"fr","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Literacy; Humanities; Longitudinal study; Psychology; Library science; Sociology; Pedagogy; Art; Computer science; Statistics; Mathematics","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":[0.006217705,0.0004295345,0.0007283263,0.003950571,0.00555893,0.005827129,0.003211718,0.001596268,0.003429208],"category_scores_gemma":[0.01898988,0.0007145001,0.001432907,0.01575449,0.002154428,0.003382336,0.003894423,0.002295828,0.00075276],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04143617,"about_ca_system_score_gemma":0.0926018,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948636,"about_ca_topic_score_gemma":0.996303,"domain_scores_codex":[0.9950876,0.0004064874,0.000378932,0.00052183,0.001723357,0.001881842],"domain_scores_gemma":[0.9840516,0.001275735,0.003259141,0.0008023846,0.008466279,0.002144821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009259413,0.0001126527,0.9602364,0.0001219173,0.0001501606,0.00006529765,0.02049841,0.0001001918,0.0001446447,0.0005675488,0.005071396,0.01283869],"study_design_scores_gemma":[0.000004852352,0.00001508117,0.9851639,0.0001218795,0.00006223739,0.000009402806,0.01088251,0.00004309797,0.00009674163,0.00005063823,0.003529567,0.00002002337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717036,0.003798793,0.0001786253,0.00761049,0.00009625759,0.0001202145,0.01123863,0.00002845662,0.00522488],"genre_scores_gemma":[0.9862198,0.001938499,0.0002892152,0.0007247571,0.00002968497,0.0001618414,0.005250829,0.00002241692,0.00536307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9941729,"threshold_uncertainty_score":0.3006419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02211094510937879,"score_gpt":0.2379793130981727,"score_spread":0.2158683679887939,"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."}}