{"id":"W7029020095","doi":"","title":"Hypocrisy, Thy Name Is Canada. Trans Mountain Pipeline Profits To Fund Green Energy Projects","year":2019,"lang":"en","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Renewable energy; Pipeline transport; Energy (signal processing); Production (economics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006020634,0.0008024842,0.000511342,0.001470013,0.005413166,0.007390694,0.0009542952,0.002185068,0.576907],"category_scores_gemma":[0.002011852,0.0004590387,0.0003688362,0.001916549,0.001801916,0.002147326,0.002489261,0.002772435,0.2786281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01005215,"about_ca_system_score_gemma":0.02687322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5557981,"about_ca_topic_score_gemma":0.8034766,"domain_scores_codex":[0.9988594,0.00002873416,0.00001486598,0.000148255,0.0007392443,0.0002095729],"domain_scores_gemma":[0.9965683,0.0001100381,0.0000623897,0.0001374749,0.001922122,0.00119968],"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":[0.00003895417,0.00002970687,0.000525853,0.00006474533,0.00000385522,0.0001030552,0.00009749616,0.00005235811,0.0006304898,0.01133554,0.9257394,0.06137865],"study_design_scores_gemma":[0.000003888615,0.000004798883,0.0004303351,0.00004090371,0.000001601972,0.00005672043,0.0001511323,0.00008912797,0.0002196479,0.0005146872,0.9984812,0.000006042234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.001081177,0.001393253,0.001132469,0.009378496,0.002140101,0.00005045307,0.002862778,0.001292468,0.980669],"genre_scores_gemma":[0.002844279,0.0005045666,0.0002973784,0.0005273122,0.00004431672,0.000005686633,0.0005813327,0.0003313231,0.9948638],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.576907,"threshold_uncertainty_score":0.8936359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146735304465337,"score_gpt":0.2259035530050441,"score_spread":0.2112300225585104,"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."}}