{"id":"W7162038563","doi":"10.82308/41102","title":"The evaluation of GHG emissions mitigation strategies on environment and economic development in Canada","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Climate Change and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental policy; Greenhouse gas; Agricultural development; Environmental impact assessment","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003857976,0.0001711539,0.0001326456,0.00002423326,0.0001348372,0.00002284291,0.000111425,0.0000688684,0.00424426],"category_scores_gemma":[0.000009452847,0.0001252783,0.0000176818,0.0000253206,0.00006611407,0.00009372162,0.00004109336,0.00008217217,0.00009355406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002990129,"about_ca_system_score_gemma":0.0002981547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4210606,"about_ca_topic_score_gemma":0.9764322,"domain_scores_codex":[0.9987305,0.00004825144,0.0003169424,0.0002540404,0.0004697748,0.0001804751],"domain_scores_gemma":[0.9995422,0.00005236497,0.000167264,0.0001725287,0.000002145978,0.00006347802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003675434,0.0003004029,0.121622,0.0001393458,0.0001577626,0.000005541859,0.01408784,0.02013992,0.01926802,0.0001670203,0.01548861,0.808256],"study_design_scores_gemma":[0.0003351877,0.00005913545,0.9608922,0.00008012852,0.00003430522,8.460164e-7,0.01345163,0.001830989,0.01732977,0.0003656776,0.005356235,0.0002638641],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727234,0.00008082832,5.029717e-7,0.00004757298,0.0001281774,0.0003366747,0.00001048668,0.000002302663,0.02667007],"genre_scores_gemma":[0.9982564,0.0004029145,0.00005445628,0.00002209809,0.00001305146,0.00005991278,0.0002491531,0.00001330225,0.0009286405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8392702,"threshold_uncertainty_score":0.996666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03506625656320309,"score_gpt":0.2772225316610353,"score_spread":0.2421562750978322,"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."}}