{"id":"W4243826891","doi":"10.1139/g08-021","title":"Erratum: Bar code / Erratum: Code à barres","year":2008,"lang":"fr","type":"erratum","venue":"Genome","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biology; Code (set theory); Programming language; Genetics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002372201,0.001277052,0.00172632,0.003250712,0.00504077,0.004808849,0.002095664,0.01529383,0.09766072],"category_scores_gemma":[0.04040239,0.0008240313,0.00106175,0.0022325,0.002106133,0.002326926,0.001663695,0.01089759,0.1059728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004977605,"about_ca_system_score_gemma":0.007469763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04523753,"about_ca_topic_score_gemma":0.044976,"domain_scores_codex":[0.9957561,0.0005576144,0.0004612296,0.0004308456,0.002389393,0.0004047885],"domain_scores_gemma":[0.9790385,0.004050411,0.001045821,0.00115253,0.01397111,0.0007415821],"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":[0.000006284442,0.000004070187,0.00002610036,0.00002057932,0.000001054128,0.00003043449,0.00001084882,0.000009042937,0.00001308519,0.0007809488,0.9965734,0.002524132],"study_design_scores_gemma":[0.00001108905,0.00001317696,0.0004774711,0.000217248,0.000007368704,0.0000679739,0.00007645062,0.00006594152,0.00009933588,0.001255138,0.9976864,0.00002237436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0004726818,0.001706797,0.0009892451,0.2285537,0.6712416,0.0001876234,0.003694247,0.001694809,0.0914593],"genre_scores_gemma":[0.004068086,0.002469354,0.002528464,0.2038991,0.04358501,0.0003248972,0.002938948,0.001093259,0.7390929],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09766072,"threshold_uncertainty_score":0.3267077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03720088239770761,"score_gpt":0.2431171855928698,"score_spread":0.2059163031951622,"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."}}