{"id":"W7042214938","doi":"","title":"Ormat Technologies, Inc. to Host Conference Call Announcing Third Quarter 2023 Financial Results","year":2023,"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); Host (biology); Financial services; Term (time)","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":[0.002124651,0.0005756296,0.0005312818,0.001292078,0.00396378,0.006114717,0.001341633,0.01288524,0.4988467],"category_scores_gemma":[0.01545819,0.0003192955,0.0006613592,0.0007295349,0.001077602,0.001909451,0.001866509,0.006676045,0.321312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002827992,"about_ca_system_score_gemma":0.005952517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02023217,"about_ca_topic_score_gemma":0.05468302,"domain_scores_codex":[0.997636,0.0002489151,0.00007818221,0.0001546227,0.001407922,0.0004745538],"domain_scores_gemma":[0.9924935,0.002054807,0.0002437368,0.0002363901,0.003252506,0.001719159],"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":[0.00000858386,0.000009086436,0.00003219269,0.000009993126,6.30693e-7,0.00003197755,0.000007086755,0.000006825667,0.00002194526,0.001650975,0.9948954,0.003325215],"study_design_scores_gemma":[0.00001481337,0.000009781598,0.0002330219,0.00006057824,0.000002689001,0.0000478416,0.00007509936,0.00007417709,0.00007727207,0.001093672,0.9983038,0.000007370297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002836008,0.0008069463,0.000276924,0.0785171,0.01070097,0.00008023089,0.001157135,0.0005171114,0.9076599],"genre_scores_gemma":[0.00209497,0.0004105076,0.0001563218,0.03257318,0.002065064,0.00004799478,0.0005340253,0.000156147,0.9619618],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4988467,"threshold_uncertainty_score":0.7148343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232595956541734,"score_gpt":0.2659507606698992,"score_spread":0.2436248011044819,"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."}}