{"id":"W2256186403","doi":"10.1108/lhtn-12-2015-0084","title":"Technological change, today and yesterday","year":2016,"lang":"en","type":"article","venue":"Library Hi Tech News","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Yesterday; Context (archaeology); Column (typography); Computer science; Metadata; Originality; World Wide Web; Publishing; Data science; Data sharing; Value (mathematics); Telecommunications; Sociology; History; Political science; Qualitative research","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006673326,0.0001210666,0.0001937742,0.0002256077,0.00007791087,0.0002412143,0.0009452553,0.000109232,0.001385781],"category_scores_gemma":[0.0004520993,0.00006011044,0.0000445504,0.0004766657,0.000290026,0.002293151,0.001217398,0.00007533649,0.0009508973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004746945,"about_ca_system_score_gemma":0.000009157765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004562386,"about_ca_topic_score_gemma":0.000004815889,"domain_scores_codex":[0.9983309,0.0001270888,0.0003366964,0.0005070155,0.0004616099,0.0002366988],"domain_scores_gemma":[0.9984936,0.0004765917,0.00009572312,0.0008212433,0.000009944424,0.0001028855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009385259,0.00002659135,0.004510496,0.000002212413,0.000003314177,0.00001508277,0.00003413711,5.066743e-9,0.0002728237,0.09111709,0.1142054,0.7898034],"study_design_scores_gemma":[0.0001783613,0.00005597531,0.007630709,0.00001798426,0.000002354563,0.000004318515,0.0001314708,0.000002631355,0.001301103,0.131763,0.8588013,0.0001107548],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1977822,0.001540459,0.04754391,0.5712131,0.001176961,0.0019315,0.0004330244,0.003000275,0.1753786],"genre_scores_gemma":[0.8972374,0.0009124741,0.009600095,0.01444133,0.0002954652,0.0001346734,0.00001427952,0.00002928766,0.07733504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7896927,"threshold_uncertainty_score":0.999827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2077099293314552,"score_gpt":0.3682668035674364,"score_spread":0.1605568742359812,"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."}}