{"id":"W6982549564","doi":"","title":"Internet-based menu planning in type 2 diabetes and its impact on weight, A1C and blood pressure","year":2012,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weight loss; Blood pressure; Overweight; Type 2 diabetes; Diabetes mellitus; Obesity","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":[0.001866994,0.0002338949,0.0002785473,0.0005912436,0.0002976592,0.0007606753,0.0002836796,0.0003907243,0.001816325],"category_scores_gemma":[0.005670723,0.0001585777,0.0006229185,0.0008253751,0.0002244622,0.0003204195,0.0003340091,0.0007666996,0.0001390141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004681333,"about_ca_system_score_gemma":0.0007375649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0203623,"about_ca_topic_score_gemma":0.02000502,"domain_scores_codex":[0.9991849,0.0005198051,0.00004456127,0.00005708242,0.0001364226,0.00005730589],"domain_scores_gemma":[0.9963575,0.002168845,0.0007490517,0.0001153505,0.0001952943,0.0004140647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003947455,0.00178221,0.9283819,0.0002020589,0.0004604825,0.0001223363,0.0001686864,0.0004189414,0.0002922686,0.00005505895,0.0004175776,0.0637511],"study_design_scores_gemma":[0.0001448524,0.001466941,0.9957624,0.0001048282,0.0002978084,0.0001450697,0.0002236426,0.001256119,0.0001079163,0.00006470249,0.0004129007,0.000012922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956358,0.002687282,0.0001311886,0.0002138625,0.00002543374,0.00001732857,0.0002131726,0.00001121409,0.001064799],"genre_scores_gemma":[0.9973745,0.001511574,0.0004251535,0.00008613234,0.00003561603,0.00002648597,0.0001955377,0.000003605702,0.0003413939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0203623,"threshold_uncertainty_score":0.04048753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03429680947433304,"score_gpt":0.3669786299906669,"score_spread":0.3326818205163339,"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."}}