{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002015961,0.0003965159,0.0003171365,0.0001756538,0.00005359947,0.0000504166,0.0005968324,0.0009735734,0.001005427],"category_scores_gemma":[0.0003759431,0.0002853224,0.00006677635,0.00006615224,0.0001049545,0.0000039547,0.0004290755,0.0002747917,0.00151733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003405673,"about_ca_system_score_gemma":0.0002790212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008027106,"about_ca_topic_score_gemma":0.001104834,"domain_scores_codex":[0.998473,0.00003338797,0.0004172025,0.0004477534,0.0001919854,0.0004366131],"domain_scores_gemma":[0.9986356,0.00001445491,0.0002807551,0.0008749412,0.0001059479,0.00008822628],"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":[0.00005361815,0.0000116417,0.00002289931,0.00006276483,0.00002761256,0.000002954776,0.00003804291,3.40468e-7,0.006731523,0.0001363366,0.9898583,0.003053938],"study_design_scores_gemma":[0.0005493202,0.0002500212,0.00003079891,0.000174837,0.000007900724,0.00001291055,0.00003579914,0.00001524849,0.003923452,0.00001318704,0.9944972,0.000489325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001845377,0.0002037285,0.008658951,0.0008864548,0.0004242967,0.000477465,0.0009635875,0.0003216032,0.9878794],"genre_scores_gemma":[0.002070261,0.0001984679,0.008092741,0.0008680921,0.0004351172,0.00003569561,0.0005043111,0.0001658144,0.9876295],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.004638873,"threshold_uncertainty_score":0.9999599,"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."}}