{"id":"W4383377336","doi":"10.1515/9780773558441-008","title":"5 Innis's Ghost: Canada's Changing Resource Economy","year":2019,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Resource (disambiguation); Economy; Economics; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0005342774,0.0006009541,0.0003322912,0.001501537,0.01098628,0.01057743,0.001180054,0.003487363,0.05271661],"category_scores_gemma":[0.001030885,0.0003837656,0.0004238512,0.003655316,0.004438143,0.002925442,0.002070423,0.003772841,0.004339563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07308698,"about_ca_system_score_gemma":0.1057096,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.985496,"about_ca_topic_score_gemma":0.996216,"domain_scores_codex":[0.9990851,0.00006294002,0.00001087765,0.00006455881,0.000422674,0.0003538557],"domain_scores_gemma":[0.9996098,0.00004197993,0.000009390627,0.00001790783,0.0001911796,0.0001298139],"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":[0.00001057635,0.000009037702,0.0002484833,0.00006818239,0.000003072103,0.00009833886,0.002169212,0.0001863917,0.00009765496,0.2688204,0.7007337,0.02755497],"study_design_scores_gemma":[0.000001311446,0.000001282281,0.0003353975,0.00006744112,0.000001503427,0.00001911945,0.00112983,0.00004287849,0.00003428869,0.006510892,0.9918491,0.000006884066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00290598,0.01741323,0.0005765475,0.04451365,0.002177219,0.00003112553,0.000765389,0.00009447813,0.9315225],"genre_scores_gemma":[0.02847777,0.006351437,0.0005947279,0.006599268,0.0001190032,0.00001826264,0.0001673422,0.00008776417,0.9575845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07308698,"threshold_uncertainty_score":0.5302856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012126411874692,"score_gpt":0.1924283809295348,"score_spread":0.1823071168107878,"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."}}