{"id":"W7065733761","doi":"","title":"EHT Provides Enhanced Power Solutions to Major Canadian Telecom \\n\\n\\tTamar Securities Financial Portal","year":2021,"lang":"en","type":"other","venue":"","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Power (physics); Key (lock); Broker-dealer; Work (physics)","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":[0.0008088028,0.0006998012,0.0002410413,0.001547856,0.002749789,0.003904731,0.0009214007,0.001362998,0.4527572],"category_scores_gemma":[0.001878871,0.0003542755,0.0004723092,0.001392394,0.0007225227,0.001729028,0.001744528,0.001156449,0.1369793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006497414,"about_ca_system_score_gemma":0.01391656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5668973,"about_ca_topic_score_gemma":0.7287967,"domain_scores_codex":[0.9991628,0.00003173121,0.000008758255,0.00003769295,0.0005673634,0.0001916122],"domain_scores_gemma":[0.9980351,0.0001051412,0.00002578445,0.0002278632,0.001196822,0.0004093371],"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":[0.0000365204,0.00004467508,0.0002691684,0.00002905716,0.000003460861,0.00006666414,0.00007349047,0.0004879522,0.001224843,0.01211609,0.934197,0.05145112],"study_design_scores_gemma":[0.00001432635,0.000006209766,0.0006683326,0.00001627909,0.000002338182,0.00002668716,0.00007581525,0.001307178,0.0007055473,0.001268234,0.9958983,0.00001074893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001552562,0.0001089545,0.003683221,0.001624016,0.0003692015,0.0001107005,0.003638419,0.006004571,0.9829084],"genre_scores_gemma":[0.01130651,0.0001791497,0.002458459,0.0003828083,0.00007619926,0.00002545277,0.002909407,0.001305863,0.9813561],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4527572,"threshold_uncertainty_score":0.8713067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00612205704087302,"score_gpt":0.2065456706151935,"score_spread":0.2004236135743205,"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."}}