{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008886079,0.0004680295,0.0005032058,0.002283408,0.005251324,0.01840092,0.001274604,0.005257487,0.03070871],"category_scores_gemma":[0.03491259,0.0003702856,0.001170406,0.005361135,0.005234127,0.02155117,0.004491166,0.008179488,0.01364959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007221036,"about_ca_system_score_gemma":0.006606841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0070816,"about_ca_topic_score_gemma":0.01021601,"domain_scores_codex":[0.9909381,0.002232637,0.0007539417,0.001068136,0.003777374,0.001229782],"domain_scores_gemma":[0.9818516,0.004481971,0.001898933,0.002369871,0.006155374,0.003242334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000766642,0.00005859014,0.003673272,0.0006196901,0.0000352159,0.0002836714,0.003595983,0.00006555422,0.0005872677,0.04065222,0.8119254,0.1384266],"study_design_scores_gemma":[0.00000287014,0.00001866953,0.002730526,0.0002299248,0.000008394753,0.0001771794,0.00378856,0.00002034271,0.0001610855,0.002853903,0.9899899,0.0000187476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.008956738,0.05287913,0.001741708,0.8082253,0.03826892,0.00003440015,0.001290087,0.0004924726,0.08811124],"genre_scores_gemma":[0.2004943,0.1293726,0.01281146,0.3959408,0.03560876,0.0002528202,0.003326837,0.0008998499,0.2212926],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03070871,"threshold_uncertainty_score":0.1027308,"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."}}