{"id":"W7052402135","doi":"","title":"Rasionalitas Pemerintahan Donald Trump Dalam Menyetujui Proyek Pipa Minyak Keystone XL Dengan Kanada","year":2021,"lang":"en","type":"dissertation","venue":"UMM Institutional Repository (University of Maine at Machias)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Administration (probate law); Pipeline (software); Keystone species; Government (linguistics); State (computer science); Rationality","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":[0.0001274283,0.0004108314,0.0004902792,0.0001998713,0.0009438841,0.00003291626,0.0004995899,0.0003286397,0.0002230328],"category_scores_gemma":[0.00006368064,0.0005460973,0.0002958952,0.0003139816,0.000199511,0.0001705446,0.0001205095,0.0004727276,0.00005738128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005830582,"about_ca_system_score_gemma":0.0005175132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006187863,"about_ca_topic_score_gemma":0.003914074,"domain_scores_codex":[0.9980133,0.0000546103,0.0003861873,0.0005298781,0.0006881669,0.0003278127],"domain_scores_gemma":[0.998629,0.0001920624,0.0002192324,0.0004538593,0.0002679597,0.0002378443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001257502,0.002928731,0.004182902,0.006916824,0.006510828,0.006952286,0.007615753,0.1739981,0.348665,0.264112,0.1697574,0.007102685],"study_design_scores_gemma":[0.005926883,0.0002992937,0.1442018,0.003524945,0.002735127,0.001391982,0.01287467,0.03599017,0.1217134,0.001980298,0.6640645,0.005296866],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383706,0.0007465723,0.0002509434,0.0002311147,0.001157878,0.0004072396,0.0004127036,0.0001463646,0.0582766],"genre_scores_gemma":[0.9662479,0.0004009225,0.002407107,0.00003161167,0.0002128767,0.00001209577,0.008303661,0.00005356617,0.02233023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4943072,"threshold_uncertainty_score":0.9996991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005396261154492377,"score_gpt":0.179335234833075,"score_spread":0.1739389736785827,"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."}}