{"id":"W2256060152","doi":"","title":"The Mobile LAM (Library, Archive & Museum): New Space for Engagement","year":2014,"lang":"en","type":"article","venue":"Young Adult Library Services","topic":"Web and Library Services","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); World Wide Web; Space (punctuation); Mobile technology; Digital library; Mobile device; Multimedia; Computer science; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002016752,0.0003981178,0.0002955996,0.0001216947,0.0007537816,0.002330913,0.004236994,0.00009937063,0.00009333433],"category_scores_gemma":[0.000008295943,0.0002828565,0.0001950018,0.0005322606,0.00005355585,0.009133164,0.00130755,0.0002553638,0.0001797572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004960448,"about_ca_system_score_gemma":0.0001489344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001680042,"about_ca_topic_score_gemma":0.0001115563,"domain_scores_codex":[0.997384,0.0002885924,0.0004334647,0.0007950556,0.0003727981,0.0007261373],"domain_scores_gemma":[0.9971794,0.0008167593,0.0002538419,0.001377532,0.00002703195,0.0003454516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001293123,0.0001383084,0.01269678,0.0004749826,0.0001475808,0.000008959085,0.007271172,0.0002741507,0.0001890856,0.8655559,0.07792055,0.03519315],"study_design_scores_gemma":[0.0007570897,0.0004102534,0.00681142,0.0001056898,0.00001764456,0.000007018645,0.0005833631,0.05497085,0.002359799,0.05041189,0.8830898,0.0004751659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3174914,0.009477109,0.1141231,0.2292792,0.0119823,0.009722596,0.000433358,0.01425481,0.2932361],"genre_scores_gemma":[0.6210461,0.001403495,0.2865044,0.04182877,0.00528194,0.000971046,0.0007571733,0.0003909101,0.04181626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8151441,"threshold_uncertainty_score":0.9999623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004382404150319305,"score_gpt":0.1928300425844108,"score_spread":0.1884476384340915,"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."}}