{"id":"W7064897683","doi":"","title":"Cr AGRICOLE S A/ADR (CRARY) and Royal Bank of Canada (RY)","year":2018,"lang":"en","type":"other","venue":"","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Context (archaeology); 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003266892,0.0002048532,0.0003566022,0.00007477029,0.00004249647,0.00001784563,0.000157824,0.00007065636,0.05630794],"category_scores_gemma":[0.000001231237,0.000165997,0.00007835132,0.0001107431,0.00007511872,0.00001725097,0.00004843235,0.00008656223,0.0000420295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001448474,"about_ca_system_score_gemma":0.0002444217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6995583,"about_ca_topic_score_gemma":0.3302672,"domain_scores_codex":[0.9991627,0.00001540032,0.0001651007,0.0002626597,0.0001676776,0.0002265097],"domain_scores_gemma":[0.9994667,0.00001371076,0.0001376443,0.0002647162,0.00002689697,0.00009035796],"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":[0.000002924585,0.00003146894,0.006496821,0.00001752662,0.0002479787,0.000001046297,0.000009056555,7.946996e-7,0.00003580354,0.003322433,0.9892147,0.0006194516],"study_design_scores_gemma":[0.0003433621,0.00007528235,0.002818083,0.0001165164,0.0002682621,1.302341e-7,0.0001763148,0.0002796042,0.002342985,0.0004015818,0.9926229,0.0005550261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006607563,0.0001330789,0.0005174985,0.00005077846,0.0001071919,0.00009560531,0.00006568692,0.00001714349,0.9983523],"genre_scores_gemma":[0.02948947,0.000007801048,0.0005606376,0.00004208422,0.0006505245,0.000006715004,0.00004286179,0.00008464778,0.9691153],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3692911,"threshold_uncertainty_score":0.9445547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002725016039572114,"score_gpt":0.1922370804794588,"score_spread":0.1895120644398867,"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."}}