{"id":"W1935839046","doi":"","title":"Privileges and Entanglements: Lessons from History for Nova Scotia’s Politics of Energy","year":2013,"lang":"en","type":"article","venue":"Érudit (Université de Montréal)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Nova scotia; Nova (rocket); Politics; Political science; History; Ethnology; Law; Engineering; Aeronautics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002259342,0.0002502409,0.0004376616,0.001702218,0.02221124,0.01330438,0.00115303,0.003176185,0.009636733],"category_scores_gemma":[0.005499736,0.0003589217,0.0003061059,0.002874577,0.03177899,0.004976226,0.006332957,0.004697244,0.0002736695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08883598,"about_ca_system_score_gemma":0.0518002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9421884,"about_ca_topic_score_gemma":0.9809625,"domain_scores_codex":[0.9980202,0.0004142801,0.00004640737,0.0001679108,0.0002258825,0.001125257],"domain_scores_gemma":[0.996741,0.001462885,0.0001890145,0.0002387457,0.0005723523,0.0007959392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005779141,0.00002257936,0.006577922,0.00006430248,0.00002105254,0.0009212948,0.1012549,0.0003932832,0.0002818575,0.8695781,0.00787567,0.01295103],"study_design_scores_gemma":[0.00004133911,0.0000348326,0.05368624,0.000864518,0.00004234551,0.0003538007,0.2420599,0.0006863088,0.0004740712,0.23061,0.4710102,0.0001363344],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3949115,0.007169116,0.001549718,0.05544552,0.0002552008,0.00004537373,0.0002452698,0.00001735135,0.540361],"genre_scores_gemma":[0.9783716,0.0007099852,0.0001750149,0.001241921,0.0000228967,0.000008908279,0.00002007632,0.00001665052,0.01943296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08883598,"threshold_uncertainty_score":0.6445532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026927905254761,"score_gpt":0.1781825043929235,"score_spread":0.1679132253403759,"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."}}