{"id":"W6980264351","doi":"","title":"BlueLinx Announces Record Gross Margin and Net Income for Fourth Quarter and Full Year","year":2018,"lang":"en","type":"other","venue":"","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Net income; Margin (machine learning); Gross margin; Net interest margin","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":[0.001460433,0.001075471,0.0007756937,0.004512153,0.000880386,0.004127185,0.001205858,0.0009307271,0.2019153],"category_scores_gemma":[0.009129925,0.0005923502,0.0003868573,0.003835667,0.0003100241,0.001990449,0.001418968,0.002083131,0.2168453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645142,"about_ca_system_score_gemma":0.002747233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01992391,"about_ca_topic_score_gemma":0.02506063,"domain_scores_codex":[0.9983443,0.00008035258,0.00008498294,0.0002315171,0.001049363,0.0002095044],"domain_scores_gemma":[0.9915132,0.0008705155,0.001035783,0.0009135365,0.004576855,0.001090183],"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":[0.00005169437,0.00002297968,0.001332036,0.00002180897,0.000002050193,0.000005385767,0.000009119725,0.00006898266,0.0000456646,0.0007284771,0.9866915,0.01102029],"study_design_scores_gemma":[0.00005345362,0.00003593556,0.01211369,0.00005388678,0.000006074741,0.00001661066,0.0000492473,0.0008016055,0.0006989595,0.00148883,0.984664,0.00001751291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.008304481,0.0005235541,0.002107517,0.004244001,0.002459005,0.0001551272,0.6563134,0.01153958,0.3143533],"genre_scores_gemma":[0.01069347,0.0003948547,0.001811813,0.0006543375,0.0007590249,0.0001890786,0.342418,0.003380689,0.6396989],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2019153,"threshold_uncertainty_score":0.6754739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.119082861976339,"score_gpt":0.399017364699018,"score_spread":0.2799345027226789,"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."}}