{"id":"W7032979386","doi":"","title":"Ormat Technologies Second Quarter 2024 Earnings: Revenues Beat Expectations, EPS Lags","year":2024,"lang":"en","type":"other","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Revenue; Beat (acoustics); Forecast period","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":[],"category_scores_codex":[0.0003396104,0.0005498483,0.0002288494,0.0007943431,0.0004051559,0.002634268,0.0004505767,0.0008965962,0.1446827],"category_scores_gemma":[0.002711685,0.0001233801,0.0002154973,0.001219061,0.0001837723,0.001107956,0.0005973473,0.000792578,0.06164205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573813,"about_ca_system_score_gemma":0.001222242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02621315,"about_ca_topic_score_gemma":0.02797398,"domain_scores_codex":[0.9997383,0.00001865929,0.000008911698,0.00003597976,0.0001466139,0.00005154236],"domain_scores_gemma":[0.9991608,0.00009358439,0.0002087016,0.00004634933,0.0003375775,0.0001531112],"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":[0.0001313448,0.00002723531,0.002424753,0.00004002494,0.000005265549,0.00003783264,0.000009458628,0.000753483,0.0001533077,0.00474132,0.9393499,0.05232602],"study_design_scores_gemma":[0.00008814925,0.0000769125,0.0265729,0.0001200308,0.00001345612,0.00005666501,0.0001251205,0.005221269,0.00134909,0.009556022,0.9567938,0.00002650916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02337669,0.002431685,0.001642872,0.01458526,0.00354145,0.00006193314,0.1704923,0.002915941,0.7809517],"genre_scores_gemma":[0.1228044,0.001929197,0.0008666858,0.0013442,0.001020193,0.00005651283,0.05469441,0.0007591774,0.8165252],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8553173,"threshold_uncertainty_score":0.4840118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151857252840512,"score_gpt":0.2164869280293993,"score_spread":0.2049683555009942,"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."}}