{"id":"W4241012961","doi":"10.1503/cmaj.090188","title":"Correction","year":2009,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Information retrieval; World Wide Web; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005931573,0.002037373,0.001265585,0.003748715,0.003848027,0.004455134,0.00403943,0.008736646,0.1249173],"category_scores_gemma":[0.1091136,0.0009094913,0.002143071,0.002012189,0.002656321,0.002792135,0.002525941,0.01374271,0.07122383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005682396,"about_ca_system_score_gemma":0.007799414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02043036,"about_ca_topic_score_gemma":0.02087568,"domain_scores_codex":[0.9897292,0.001524935,0.001251321,0.001341241,0.005095252,0.001057944],"domain_scores_gemma":[0.9403375,0.01432204,0.002926075,0.003654914,0.03677939,0.001980173],"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":[0.00001355186,0.000002688069,0.00004094103,0.00004250617,0.000004250461,0.00008862072,0.00002129424,0.0000110108,0.00001973548,0.0005725889,0.9959471,0.003235779],"study_design_scores_gemma":[0.00001924748,0.000009440649,0.0003638863,0.0001944569,0.00001337184,0.0002461454,0.00005355387,0.00007479883,0.0001187671,0.0008016933,0.9980853,0.00001952385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001184358,0.0005512473,0.0007783086,0.1209546,0.8692268,0.00005040124,0.001383879,0.0005879416,0.00634837],"genre_scores_gemma":[0.009322328,0.003379055,0.00407469,0.317381,0.3891837,0.0003508476,0.003313218,0.001568151,0.2714271],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1249173,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06013471215337879,"score_gpt":0.4094951811542272,"score_spread":0.3493604690008484,"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."}}