{"id":"W1585234429","doi":"","title":"Welcome to Library and Information Science","year":2012,"lang":"en","type":"article","venue":"Journal of Education for Library and Information Science","topic":"Library Science and Administration","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"BATES; Discipline; Information science; Sociology; Rhetorical question; Context (archaeology); Library science; Sensibility; Vision; Computer science; Social science; Linguistics; Political science; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"editorial","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001493961,0.00008331471,0.0001034911,0.001164936,0.001205126,0.001827973,0.0005030728,0.00004196094,0.00007839837],"category_scores_gemma":[0.000448765,0.00006986288,0.00002788873,0.002367484,0.0008298104,0.543543,0.00009640933,0.00008539962,0.0000137597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000183006,"about_ca_system_score_gemma":0.003020733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001297117,"about_ca_topic_score_gemma":3.413837e-8,"domain_scores_codex":[0.9984165,0.00002735483,0.0005113207,0.00007987754,0.000632694,0.000332222],"domain_scores_gemma":[0.9985278,0.00009578827,0.0004367027,0.0001022397,0.0001491151,0.0006883919],"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":[0.00002955976,0.0000318973,0.01497447,0.00002030711,0.00000123213,1.531833e-8,0.0174874,0.000004291478,0.000206209,0.9333706,0.002846971,0.03102707],"study_design_scores_gemma":[0.0001375773,0.0001435731,0.07945585,0.00003446592,0.000004122081,0.00001434733,0.01371053,0.00005915352,0.002712798,0.001659558,0.9019439,0.0001241079],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7893484,0.0001479856,0.0009777058,0.03622664,0.004764927,0.0006385903,0.00001580038,0.0000570713,0.1678229],"genre_scores_gemma":[0.9824383,0.0004319441,0.009400095,0.006745897,0.0005726963,0.000008411021,0.000007970889,0.000002662034,0.0003920508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.931711,"threshold_uncertainty_score":0.9992082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052657910942021,"score_gpt":0.311630750344086,"score_spread":0.2911041712346658,"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."}}