{"id":"W7069982975","doi":"","title":"Ormat Technologies, Inc. to Host Conference Call Announcing Second Quarter 2016 Financial Results","year":2016,"lang":"en","type":"other","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","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":["insufficient_payload"],"category_scores_codex":[0.001861638,0.0009359181,0.0007485261,0.001451707,0.001113461,0.005560794,0.001389234,0.001833447,0.7007998],"category_scores_gemma":[0.00615377,0.0003298098,0.0005387392,0.001485265,0.0004919636,0.002980673,0.001746885,0.002012596,0.6585176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009549473,"about_ca_system_score_gemma":0.002305282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002201478,"about_ca_topic_score_gemma":0.007393703,"domain_scores_codex":[0.9989203,0.00008584328,0.00003381513,0.0001301529,0.0006839524,0.0001458818],"domain_scores_gemma":[0.9960944,0.0005000398,0.0001893535,0.0004058024,0.001425283,0.001385079],"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":[0.00004443496,0.00003654848,0.0001160475,0.00003636682,0.000001854822,0.00002102379,0.000008666889,0.00005342819,0.0002241126,0.00179325,0.9520846,0.04557981],"study_design_scores_gemma":[0.00002291199,0.00002995078,0.0003007381,0.00003434706,0.000003438939,0.00004711231,0.00002693238,0.0003824742,0.0006813896,0.001974088,0.9964885,0.000008090362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007852348,0.001050467,0.004634995,0.009236519,0.003310725,0.0001414839,0.01169482,0.01041581,0.9587299],"genre_scores_gemma":[0.001974904,0.00045727,0.001344819,0.001047665,0.0003203091,0.00004456177,0.005647864,0.001256152,0.9879063],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2992002,"threshold_uncertainty_score":0.4267727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005863420517276256,"score_gpt":0.2364989777270213,"score_spread":0.230635557209745,"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."}}