{"id":"W2131985314","doi":"10.21083/partnership.v6i1.1448","title":"Teaching Matters: Increasing Library Visibility through Integrated Classroom Instruction","year":2011,"lang":"en","type":"article","venue":"Partnership The Canadian Journal of Library and Information Practice and Research","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Relevance (law); Science and engineering; Library science; Collection development; Visibility; Engineering education; Library instruction; Space (punctuation); Computer science; Mathematics education; Engineering management; Engineering; Information literacy; Psychology; Engineering ethics; Political science; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.002126973,0.0003453821,0.0005248617,0.001540354,0.002073648,0.004957138,0.001930695,0.001109552,0.0135607],"category_scores_gemma":[0.01321189,0.0003981709,0.0003462894,0.001006173,0.0008305055,0.004537555,0.008127372,0.001630784,0.003128087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198567,"about_ca_system_score_gemma":0.005634928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002442376,"about_ca_topic_score_gemma":0.006650692,"domain_scores_codex":[0.9977035,0.0006432062,0.00009082424,0.0003643684,0.0008361614,0.0003619935],"domain_scores_gemma":[0.9899592,0.003837269,0.000901291,0.001204532,0.0009635097,0.00313436],"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":[0.0002010217,0.007739319,0.008802014,0.000221987,0.00002106041,0.0001830051,0.0100652,0.00028418,0.006235673,0.002429582,0.008761133,0.9550558],"study_design_scores_gemma":[0.003392538,0.01570526,0.2678845,0.002326757,0.0008408395,0.002748176,0.06863878,0.009457983,0.0505042,0.04608874,0.5319726,0.0004396286],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8433421,0.001535392,0.03960986,0.00912341,0.0003041962,0.0005010471,0.00009696646,0.004479987,0.1010072],"genre_scores_gemma":[0.9227965,0.0008028668,0.05866515,0.001373415,0.0002321295,0.0002849415,0.0001567474,0.0002349059,0.01545328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0135607,"threshold_uncertainty_score":0.0453651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04057913722740376,"score_gpt":0.289331922040275,"score_spread":0.2487527848128712,"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."}}