{"id":"W2004091150","doi":"10.1080/15228959.2012.650565","title":"Academicism Versus Professionalism in LIS Programs","year":2012,"lang":"en","type":"article","venue":"Public & Access Services Quarterly","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Library science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008028907,0.0002010097,0.0001956662,0.0002840635,0.000187327,0.001429672,0.002854747,0.0001671304,0.0001629841],"category_scores_gemma":[0.00001455442,0.0001804303,0.00005255219,0.001250507,0.0000254996,0.01065625,0.0003129141,0.0005348136,0.0003404712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007830803,"about_ca_system_score_gemma":0.0001175846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005472811,"about_ca_topic_score_gemma":0.0002117641,"domain_scores_codex":[0.9978161,0.0002188666,0.0003694369,0.0003999694,0.0003873087,0.0008083176],"domain_scores_gemma":[0.9988161,0.0001038114,0.0002074623,0.0004634544,0.0001292482,0.0002799381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003314492,0.0009324416,0.1756861,0.0001844941,0.00003861756,0.000003420963,0.06430928,0.000003229409,0.00006468214,0.147454,0.0005452038,0.6107453],"study_design_scores_gemma":[0.003903636,0.0005521218,0.6535838,0.0003154034,0.00002229874,0.0000271708,0.04013648,0.009800672,0.0001194672,0.004988935,0.2849194,0.001630682],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467202,0.0005503642,0.0008254672,0.01954057,0.0046497,0.0005876903,0.000001032561,0.0005014369,0.02662351],"genre_scores_gemma":[0.9971024,0.000008533179,0.00103974,0.001059543,0.0002944683,0.0001766241,0.00003378675,0.00001653019,0.0002683886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6091146,"threshold_uncertainty_score":0.999607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07512629973366593,"score_gpt":0.3605391800641282,"score_spread":0.2854128803304622,"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."}}