{"id":"W7029384687","doi":"","title":"Investor Network Invites You to the U.S. Geothermal Inc. Third Quarter 2017 Earnings Conference Call and Webcast Live on Friday, November 10, 2017 Investor Network Invites You to the U.S. Geothermal Inc. Third Quarter 2017 Earnings Conference Call and Webcast Live on Friday, November 10, 2017 Investor Network Invites You to the U.S. Geothermal Inc. Third Quarter 2017 Earnings Conference Call and Webcast Live on Friday, November 10, 2017","year":2017,"lang":"en","type":"other","venue":"","topic":"Engineering and Materials Science Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Webcast; Quarter (Canadian coin); Earnings; Geothermal gradient; Government (linguistics)","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","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.005040271,0.005882154,0.004928343,0.001084496,0.00454295,0.005004446,0.006005794,0.003234796,0.002722214],"category_scores_gemma":[0.001239103,0.004223255,0.0006826211,0.0007021385,0.003953071,0.001779586,0.003387727,0.006208926,0.009797649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005145615,"about_ca_system_score_gemma":0.0007611593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01409789,"about_ca_topic_score_gemma":0.03197109,"domain_scores_codex":[0.9809959,0.00160635,0.002975762,0.005330733,0.003147341,0.005943924],"domain_scores_gemma":[0.9847821,0.002201014,0.003053076,0.005722967,0.001401287,0.002839527],"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":[0.001041479,0.0002451917,0.003133294,0.0004405882,0.001218872,0.0001822116,0.01598712,0.02490346,0.001049048,0.0003722784,0.9507466,0.0006798725],"study_design_scores_gemma":[0.003169043,0.003649896,0.03201625,0.005619674,0.0008057343,0.0003014885,0.001873217,0.0173855,0.00008876361,0.000148073,0.9280378,0.006904568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4473317,0.02089887,0.004748933,0.05291286,0.02777033,0.02956363,0.009913416,0.006693748,0.4001665],"genre_scores_gemma":[0.482522,0.01559818,0.006948033,0.04335479,0.03566143,0.006358723,0.002074549,0.005351729,0.4021306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03519024,"threshold_uncertainty_score":0.9993722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007891956174156,"score_gpt":0.23128638976845,"score_spread":0.2112074702067084,"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."}}