{"id":"W2265258167","doi":"","title":"NO MAN'S LAND: deconstructing the company camp in Canada's Oil Sands","year":2015,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oil sands; Geography; Archaeology; Asphalt","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":[0.001165498,0.0004700531,0.0003847305,0.001755064,0.04864455,0.01369802,0.002780692,0.002192831,0.01266119],"category_scores_gemma":[0.002030995,0.0003849302,0.0003765768,0.002217286,0.02750765,0.003657239,0.007482589,0.00437989,0.0007776423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09815213,"about_ca_system_score_gemma":0.1614455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.985887,"about_ca_topic_score_gemma":0.9980053,"domain_scores_codex":[0.9983603,0.0003141583,0.00001704836,0.0001222008,0.0003177515,0.0008685156],"domain_scores_gemma":[0.9985558,0.0001802112,0.00005021963,0.00005596093,0.0003516643,0.0008060614],"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":[0.00009255842,0.00008895138,0.01085227,0.0002020945,0.00001985025,0.002185219,0.3956213,0.001054768,0.0006111245,0.4136305,0.1151931,0.06044834],"study_design_scores_gemma":[0.000008913777,0.00002150181,0.005253402,0.0002514628,0.00001331269,0.0001712271,0.5177345,0.0004513913,0.0001921298,0.01277573,0.4630886,0.00003777141],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3433622,0.00658321,0.005435369,0.08214564,0.001453031,0.00019104,0.0005143496,0.0001729008,0.5601423],"genre_scores_gemma":[0.8994597,0.002448976,0.002220487,0.004652102,0.00007294493,0.00003241428,0.0001285458,0.0001345829,0.09085032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09815213,"threshold_uncertainty_score":0.7121469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005369172369172144,"score_gpt":0.1632228781053811,"score_spread":0.1578537057362089,"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."}}