{"id":"W7000659200","doi":"","title":"General Electric (GE) Upgraded to “Outperform” at Royal Bank of Canada","year":2018,"lang":"en","type":"other","venue":"","topic":"Advanced battery technologies research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Port (circuit theory)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000034769,0.0002681942,0.0003296564,0.0003639327,0.00002296455,0.000006108753,0.0005164435,0.000267692,0.01136239],"category_scores_gemma":[0.0000344425,0.0002425671,0.00003790753,0.0003581567,0.00003112714,0.00001094606,0.0001859408,0.000208775,0.0002202068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006756493,"about_ca_system_score_gemma":0.000121276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06950017,"about_ca_topic_score_gemma":0.4582241,"domain_scores_codex":[0.9986026,0.000007107536,0.0001907706,0.0002497558,0.0003517739,0.0005979455],"domain_scores_gemma":[0.99927,0.00001982198,0.00002976376,0.0005503207,0.00002852073,0.0001015522],"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":[0.000003843459,0.000003075433,0.00007898765,0.00007610829,0.00005714084,0.000007431079,0.000002648235,0.0008703562,0.001805423,0.00003487732,0.9943917,0.002668368],"study_design_scores_gemma":[0.0001298363,0.0000654032,0.00008918982,0.00003229821,0.000005532268,0.000002935881,0.000004485363,0.003742232,0.04286554,0.00001420207,0.9526935,0.0003548072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006953808,0.0002854566,0.001717463,0.00006410844,0.0003471067,0.0003816336,0.00003464943,0.0009088595,0.9893069],"genre_scores_gemma":[0.008394226,0.00005207111,0.004026952,0.00004646601,0.0001870283,0.00003719241,0.00001381966,0.00042849,0.9868138],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3887239,"threshold_uncertainty_score":0.9895414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007816493640499484,"score_gpt":0.2231684923714653,"score_spread":0.2153519987309658,"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."}}