{"id":"W7051587730","doi":"","title":"Ormat Technologies, Inc. to Host Conference Call Announcing Third Quarter 2015 Earnings Results - Energy (ENERGY01) News","year":2015,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Host (biology); Energy (signal processing)","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":["insufficient_payload"],"category_scores_codex":[0.001020719,0.0006612354,0.0004284052,0.001013973,0.002278209,0.006496522,0.000928307,0.002906218,0.6356748],"category_scores_gemma":[0.002905255,0.0003863733,0.000611769,0.000748479,0.0004095528,0.002635863,0.001206824,0.002501992,0.4975325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030537,"about_ca_system_score_gemma":0.001844708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007019595,"about_ca_topic_score_gemma":0.02629084,"domain_scores_codex":[0.9990687,0.00004465418,0.00002002177,0.00007880447,0.0006428973,0.0001450047],"domain_scores_gemma":[0.9984474,0.0002070173,0.00005575818,0.0001310459,0.0007620596,0.0003968026],"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":[0.00002119147,0.00001686888,0.00004401419,0.00001623149,8.375149e-7,0.00001793685,0.000007040289,0.00001197648,0.0001236538,0.001017865,0.9905159,0.008206388],"study_design_scores_gemma":[0.0000112816,0.00001841171,0.0002764394,0.00002008937,0.000002579643,0.00002528725,0.00004616061,0.00008371243,0.0003365715,0.0004820758,0.998692,0.000005396472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005624366,0.0005300717,0.0009567926,0.01009914,0.005455795,0.00008308561,0.003510716,0.003317299,0.9754847],"genre_scores_gemma":[0.001433999,0.0002218151,0.000177049,0.001279464,0.0002772422,0.0000198932,0.001194757,0.0003467131,0.9950491],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3643252,"threshold_uncertainty_score":0.5196656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549360470772838,"score_gpt":0.2564929154823218,"score_spread":0.2409993107745934,"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."}}