{"id":"W2142843662","doi":"10.21083/partnership.v9i1.2695","title":"Mapping Information Literacy Outcomes and Learning Experiences of Health Sciences Undergraduate Students","year":2014,"lang":"en","type":"article","venue":"Partnership The Canadian Journal of Library and Information Practice and Research","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information literacy; Competence (human resources); Medical education; Psychology; Class (philosophy); Health science; The Internet; Mathematics education; Medicine; Pedagogy; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00149883,0.0002111082,0.0004019112,0.002058144,0.0007747448,0.002241715,0.0003660427,0.0005525503,0.00247938],"category_scores_gemma":[0.009995039,0.000227447,0.0003508819,0.001233612,0.0005080967,0.0009831707,0.001648611,0.000923496,0.0006589235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008560312,"about_ca_system_score_gemma":0.001194128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00465904,"about_ca_topic_score_gemma":0.007144568,"domain_scores_codex":[0.9988797,0.0002205091,0.0001078196,0.00008816737,0.0003526019,0.000351182],"domain_scores_gemma":[0.9929917,0.001354414,0.002122873,0.000165588,0.0009614647,0.00240401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001273859,0.00133746,0.9495775,0.00007140365,0.0000247398,0.0001672336,0.02027554,0.00003256104,0.0006860472,0.00006591407,0.0003454434,0.02728885],"study_design_scores_gemma":[0.000006433292,0.0005783382,0.9831287,0.0000227744,0.000008137339,0.00009067626,0.01523702,0.00006822394,0.000241604,0.00003437028,0.0005730361,0.00001070754],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994317,0.00003528961,0.0000130223,0.00004295387,0.000001718763,0.000009024905,0.00002316277,0.000001507963,0.0004416739],"genre_scores_gemma":[0.9994293,0.00005894591,0.00003643895,0.00003073956,0.00000355986,0.00001282733,0.00004860902,9.085492e-7,0.000378642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00465904,"threshold_uncertainty_score":0.009263813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06709086024794154,"score_gpt":0.4089081696701468,"score_spread":0.3418173094222052,"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."}}