{"id":"W7035700118","doi":"","title":"Acciona (OTCMKTS:ACXIF) Earns Outperform Rating from Royal Bank of Canada","year":2021,"lang":"en","type":"other","venue":"","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Work (physics); Government (linguistics); Matching (statistics)","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":[0.0005658247,0.0002221249,0.0005853653,0.00009946711,0.0003523987,0.000004729946,0.0002051745,0.0006532589,0.2052179],"category_scores_gemma":[0.0006233605,0.0001806253,0.0000549828,0.0001126955,0.0000227814,0.00002104068,0.000115168,0.00120519,0.0001478799],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002980254,"about_ca_system_score_gemma":0.007606445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8668172,"about_ca_topic_score_gemma":0.9023771,"domain_scores_codex":[0.9973305,0.0002098392,0.001022581,0.0002332698,0.0006531421,0.0005506665],"domain_scores_gemma":[0.9978564,0.0005531913,0.0007276399,0.0003881431,0.0001433902,0.000331169],"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":[0.000007282678,0.000008823186,0.002401489,0.001212604,0.00003533351,0.000002309903,0.0005274153,0.00000253334,0.000001122188,0.0005917016,0.9930813,0.002128069],"study_design_scores_gemma":[0.0005051144,0.00001822996,0.002248851,0.002382809,0.00001855748,1.529815e-7,0.002028927,0.001098707,0.000006213616,0.00002413073,0.9914774,0.0001908754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004519476,0.0005269364,0.0003706748,0.00171939,0.002725319,0.0004876552,0.0001983324,0.00009811243,0.9934216],"genre_scores_gemma":[0.005310004,0.0001112196,0.00156892,0.00433543,0.001603496,0.00005411738,0.0009303862,0.0001444005,0.985942],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.20507,"threshold_uncertainty_score":0.9980195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1632246571593277,"score_gpt":0.417690540325543,"score_spread":0.2544658831662153,"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."}}