{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009922914,0.0003792271,0.0003794494,0.000319861,0.00007650745,0.0001748301,0.0009357773,0.0002294054,0.0002689263],"category_scores_gemma":[0.000007060989,0.0003171071,0.00006195431,0.0004377998,0.00003037015,0.0001542818,0.0001178158,0.0001939159,0.00009437015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001294008,"about_ca_system_score_gemma":0.002176195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7106634,"about_ca_topic_score_gemma":0.5795848,"domain_scores_codex":[0.9979129,0.00004966727,0.0002656494,0.0008186002,0.0004760878,0.0004770826],"domain_scores_gemma":[0.9988924,0.0000180416,0.0001492987,0.000676209,0.0001047313,0.0001593073],"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":[0.000003013251,0.00001393316,0.00001435735,0.0001144767,0.00002454695,0.000009492532,0.0001624164,0.000002563809,0.00002605006,0.0006632856,0.8245891,0.1743768],"study_design_scores_gemma":[0.0002413119,0.00004443465,0.00000412192,0.000164368,0.00001416982,0.00006129666,0.00003466939,0.005635381,0.001211699,0.0001036808,0.991964,0.0005208323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006169777,0.0006000284,0.4354326,0.004840823,0.001293508,0.0003770973,0.000041858,0.0003841767,0.5570237],"genre_scores_gemma":[0.0005774861,0.00002663132,0.02271529,0.004085242,0.0004016978,0.0000324696,0.00001316865,0.0001625693,0.9719855],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4149617,"threshold_uncertainty_score":0.9999281,"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."}}