{"id":"W7043835152","doi":"","title":"U.S. Geothermal Inc. to Discuss 3rd Quarter 2014 Earnings Results on November 14th - Energy (ENERGY01) News","year":2014,"lang":"en","type":"other","venue":"","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Geothermal gradient; Energy (signal processing); Geothermal energy","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":[],"consensus_categories":[],"category_scores_codex":[0.0007339218,0.0005107268,0.0003568742,0.0009147994,0.005451777,0.004530778,0.0009199713,0.01171421,0.2570784],"category_scores_gemma":[0.003858577,0.000453555,0.0005415223,0.0007488168,0.0009683467,0.001384778,0.001592526,0.006487246,0.1197394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002553845,"about_ca_system_score_gemma":0.00464455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05836134,"about_ca_topic_score_gemma":0.146783,"domain_scores_codex":[0.9990751,0.00007802002,0.00002717867,0.00007179032,0.000472144,0.0002759023],"domain_scores_gemma":[0.9988571,0.000296849,0.0000563963,0.00005477692,0.0005334825,0.0002013867],"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":[0.00000668818,0.000009272399,0.00007187674,0.000008773532,6.521636e-7,0.00003187441,0.00001704065,0.000006658397,0.00003269395,0.001964422,0.995527,0.002323063],"study_design_scores_gemma":[0.000008956822,0.000007711416,0.0008306727,0.0000629664,0.00000266455,0.00002149628,0.0001463954,0.00003076878,0.0001127733,0.0007194476,0.9980483,0.000007810565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001043131,0.001761995,0.0001594757,0.115091,0.007524612,0.00008333261,0.002345204,0.0004016532,0.8715895],"genre_scores_gemma":[0.004005718,0.0007371775,0.00007731984,0.03902576,0.001163142,0.00005827014,0.000423404,0.00009515492,0.9544141],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2570784,"threshold_uncertainty_score":0.8600129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007635967648782118,"score_gpt":0.239809240978716,"score_spread":0.2321732733299339,"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."}}