{"id":"W2085286573","doi":"10.1016/j.acalib.2014.01.009","title":"Flipped Librarians: Assessing Our Own Need to Understand Our Users","year":2014,"lang":"en","type":"article","venue":"The Journal of Academic Librarianship","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Curriculum; Computer science; Point (geometry); Multimedia; Perspective (graphical); Cultural heritage; Task (project management); Process (computing); Content analysis; World Wide Web; Sociology; Pedagogy; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003335887,0.0002202992,0.0003315373,0.0003337403,0.0003623584,0.001081439,0.003202655,0.0002049687,0.00001858138],"category_scores_gemma":[0.0007925419,0.0001516496,0.0001165981,0.0009267457,0.00002198489,0.00594946,0.0003307897,0.001790218,0.0001019287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000072259,"about_ca_system_score_gemma":0.0005680482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007207645,"about_ca_topic_score_gemma":4.721589e-7,"domain_scores_codex":[0.9970138,0.001006759,0.0007024873,0.000219845,0.0005911931,0.0004658789],"domain_scores_gemma":[0.9979071,0.0004267941,0.0006512844,0.0004625184,0.00009133323,0.0004609817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000389282,0.0002077322,0.02587627,0.000114618,0.0003819817,0.00003085609,0.09137482,0.01246845,0.01513635,0.3662917,0.4423008,0.04542712],"study_design_scores_gemma":[0.006169065,0.001676637,0.08739607,0.001922317,0.0003576608,0.001623651,0.5785092,0.02855863,0.009793131,0.106824,0.1746342,0.002535446],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1584074,0.0002591095,0.3955696,0.4185372,0.004085754,0.0003190816,8.085302e-7,0.0002040502,0.02261703],"genre_scores_gemma":[0.9760417,0.00005528551,0.01424824,0.006971982,0.001336329,8.704006e-7,5.442906e-7,0.00003075434,0.00131435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8176342,"threshold_uncertainty_score":0.9999555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.062653163304776,"score_gpt":0.3104345716624556,"score_spread":0.2477814083576796,"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."}}