{"id":"W2942987578","doi":"","title":"The early effects of CETA on energy and waste issues: socio-spatial insights across Canada ","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Nexus (standard); Business; Government (linguistics); Procurement; Environmental planning; Environmental economics; Environmental resource management; Economic growth; Political science; Marketing; Economics; Geography; Engineering","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":[0.002419399,0.0001921971,0.0004849006,0.001915294,0.0130975,0.009131577,0.001318436,0.001780234,0.008584596],"category_scores_gemma":[0.009857741,0.0003487863,0.000544638,0.003998221,0.005230254,0.001874582,0.004606888,0.003658007,0.0004414048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1098819,"about_ca_system_score_gemma":0.1267927,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935307,"about_ca_topic_score_gemma":0.9958183,"domain_scores_codex":[0.9976974,0.0002460474,0.00005068157,0.0001487255,0.0008332873,0.001023881],"domain_scores_gemma":[0.9887965,0.002733662,0.000649275,0.0003879869,0.005060836,0.002371823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001601372,0.00095885,0.4111764,0.0005042512,0.0002518097,0.003228585,0.147439,0.009963325,0.005900125,0.2362904,0.05756175,0.1251242],"study_design_scores_gemma":[0.000044146,0.00008780745,0.5960363,0.0005035155,0.00006782814,0.000134398,0.1900504,0.002452086,0.002022873,0.006634745,0.2018367,0.0001293619],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8906219,0.001316579,0.0004009142,0.0172826,0.00008899934,0.00006223741,0.0009962531,0.00003307898,0.0891975],"genre_scores_gemma":[0.9831525,0.0005630653,0.0001498442,0.0009073334,0.00001553696,0.00001277131,0.0001744594,0.00001990741,0.01500448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1098819,"threshold_uncertainty_score":0.7972527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070687158674743,"score_gpt":0.2594657155450707,"score_spread":0.2487588439583233,"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."}}