{"id":"W7098051700","doi":"","title":"Dalhousie Business Seminar","year":2001,"lang":"en","type":"article","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Government (linguistics); Power (physics); Industrial Revolution; Public policy; Information technology; Technological change","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006567808,0.0009644736,0.0006360785,0.001450945,0.006081712,0.008150916,0.0008885548,0.003465908,0.5652384],"category_scores_gemma":[0.001707956,0.0006336881,0.000521346,0.001805001,0.001190238,0.003409119,0.002440812,0.002851431,0.1974993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01066202,"about_ca_system_score_gemma":0.01278664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1905734,"about_ca_topic_score_gemma":0.3406602,"domain_scores_codex":[0.9991832,0.00004559584,0.00004112152,0.0001897419,0.0003919967,0.0001482932],"domain_scores_gemma":[0.9992525,0.00008931445,0.00002963934,0.00008968385,0.0002944092,0.0002444019],"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":[0.00006484667,0.00008015149,0.0006582738,0.0000934052,0.000007661698,0.0002550311,0.0001539709,0.0001733762,0.0003423615,0.04658119,0.9027331,0.04885662],"study_design_scores_gemma":[0.000003563926,0.000003346348,0.000649884,0.00004117557,0.000001274283,0.00001429979,0.0001095539,0.00004431925,0.00007612049,0.001008457,0.9980415,0.00000658365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001451087,0.00465753,0.0002601101,0.01951725,0.001720615,0.00003477855,0.003002823,0.0002700358,0.9690858],"genre_scores_gemma":[0.004432396,0.001603051,0.0002280587,0.0008601451,0.00009488215,0.00001591861,0.0005656605,0.00005988755,0.9921401],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4347616,"threshold_uncertainty_score":0.6201346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016843923026874,"score_gpt":0.2871090171190469,"score_spread":0.2669405778887782,"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."}}