{"id":"W7097160681","doi":"","title":"DOMESTIC FINANCIAL STATISTICS","year":2007,"lang":"en","type":"article","venue":"","topic":"SAS software applications and methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Statistical analysis; Numbering; Year-ending; Economic statistics; Quarter (Canadian coin); Continuation","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":[],"consensus_categories":[],"category_scores_codex":[0.004876229,0.0009829192,0.001167295,0.01979846,0.0009394823,0.004560417,0.001175867,0.0008679566,0.2102458],"category_scores_gemma":[0.04526128,0.0006146152,0.0006203266,0.02410334,0.0005126792,0.002841698,0.001426842,0.002261899,0.1777653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0029288,"about_ca_system_score_gemma":0.004995485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01232586,"about_ca_topic_score_gemma":0.009653471,"domain_scores_codex":[0.9913895,0.001083078,0.001168962,0.000840436,0.004999244,0.0005188226],"domain_scores_gemma":[0.9597096,0.007823403,0.005108906,0.003659021,0.02222546,0.001473504],"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":[0.00002451869,0.000009798291,0.001080617,0.0001120818,0.000006302136,0.00001230271,0.00003873297,0.00006789795,0.0000271553,0.003366472,0.9704012,0.02485296],"study_design_scores_gemma":[0.000009740575,0.00001297296,0.004914854,0.0001390237,0.00000667788,0.00006529415,0.00006323264,0.0001862203,0.00008924847,0.001537154,0.9929619,0.0000136156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002793551,0.003346205,0.004527071,0.004315199,0.002133316,0.0004367158,0.7371577,0.004416562,0.2408736],"genre_scores_gemma":[0.01979981,0.006679063,0.006603135,0.001378828,0.001911678,0.0008573404,0.7743406,0.002073849,0.1863557],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2102458,"threshold_uncertainty_score":0.7033423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009866514633139737,"score_gpt":0.2899760519909439,"score_spread":0.2801095373578041,"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."}}