{"id":"W4200008633","doi":"10.1016/j.jcjd.2021.10.002","title":"Erratum to “Identifying Behaviour Change Techniques and Motivational Interviewing Techniques in Small Steps for Big Changes: A Community-Based Program for Adults at Risk for Type 2 Diabetes”","year":2021,"lang":"en","type":"erratum","venue":"Canadian Journal of Diabetes","topic":"Health and Lifestyle Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Motivational interviewing; Medicine; Interview; Session (web analytics); Table (database); Type 2 diabetes; Behaviour change; Gerontology; Applied psychology; Intervention (counseling); Diabetes mellitus; Psychology; Nursing; Database; Computer science; World Wide Web","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":[0.007669499,0.002364455,0.002288525,0.004096515,0.007446698,0.004055615,0.003749146,0.0131333,0.0452506],"category_scores_gemma":[0.07421037,0.001845255,0.002774752,0.002245476,0.001765602,0.001955342,0.001900253,0.01366426,0.02882298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006646057,"about_ca_system_score_gemma":0.01559123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09151547,"about_ca_topic_score_gemma":0.1340168,"domain_scores_codex":[0.9925334,0.001449559,0.001817142,0.0005385266,0.002993493,0.0006677806],"domain_scores_gemma":[0.9444649,0.01680166,0.002259599,0.00154403,0.0321156,0.002814247],"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":[0.00002234221,0.00001523436,0.0000488847,0.00004139925,0.000003684073,0.00007500319,0.00000999723,0.00001082588,0.00001193113,0.00007581894,0.997541,0.002144025],"study_design_scores_gemma":[0.0001707736,0.00007790369,0.001915039,0.0006928425,0.00007080565,0.0002403051,0.000200717,0.0002529709,0.0002374949,0.0004207423,0.9956607,0.00005960371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001195274,0.000534925,0.0002330707,0.08439118,0.9105142,0.0000811022,0.0007128626,0.0001468988,0.003266267],"genre_scores_gemma":[0.003810307,0.005189831,0.003728441,0.4428048,0.3234479,0.0008865846,0.00299149,0.0007685515,0.2163721],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09151547,"threshold_uncertainty_score":0.1819656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2011745997913103,"score_gpt":0.4161712701795766,"score_spread":0.2149966703882663,"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."}}