{"id":"W2939519309","doi":"","title":"\"Local Transparency\" and \"The Black Trains\"","year":2015,"lang":"en","type":"article","venue":"Dalhousie review","topic":"Political and Economic history of UK and US","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Train; Computer science; Computer security; Geography; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006070265,0.0004242498,0.0006535365,0.002850957,0.004168116,0.009473615,0.001223499,0.004497767,0.008430801],"category_scores_gemma":[0.01514591,0.0003394223,0.0003980626,0.003935605,0.01226668,0.006298969,0.003059115,0.006445714,0.0006634241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02462806,"about_ca_system_score_gemma":0.04504901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2801563,"about_ca_topic_score_gemma":0.3634755,"domain_scores_codex":[0.9954668,0.001671733,0.0002003838,0.0004233853,0.001180338,0.001057291],"domain_scores_gemma":[0.9924715,0.003465071,0.0007032576,0.000560507,0.002245964,0.0005537886],"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":[0.00005724271,0.00002114108,0.0007535335,0.0009069819,0.00003292851,0.00008175021,0.001692977,0.0003516843,0.00006777931,0.7437887,0.1840094,0.06823598],"study_design_scores_gemma":[0.00003442346,0.0000212693,0.004815464,0.002772003,0.00005565325,0.00005567151,0.003199653,0.0001544697,0.0001886904,0.06288312,0.9257749,0.00004458395],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00951376,0.3870621,0.001325459,0.440704,0.005953343,0.00002306017,0.0003063392,0.00009563236,0.1550163],"genre_scores_gemma":[0.508498,0.2636076,0.001175745,0.1427093,0.004044706,0.00009753875,0.0001567131,0.0001200864,0.07959052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2801563,"threshold_uncertainty_score":0.5570513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0657623170903344,"score_gpt":0.3094357915405569,"score_spread":0.2436734744502226,"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."}}