{"id":"W2896842517","doi":"10.2147/ijwh.s172346","title":"Curbing excess gestational weight gain in primary care: using a point-of-care tool based on behavior change theory","year":2018,"lang":"en","type":"article","venue":"International Journal of Women s Health","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Concordance; Medicine; Pregnancy; Weight gain; Guideline; Family medicine; Body weight; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005538898,0.0004844809,0.0005446655,0.001173302,0.0006118597,0.0007112449,0.0008582282,0.0006380095,0.002296207],"category_scores_gemma":[0.01415581,0.0002837635,0.0006073765,0.0006149726,0.000465406,0.0004692444,0.0007534325,0.000828888,0.0003104462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001161572,"about_ca_system_score_gemma":0.001831736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003142899,"about_ca_topic_score_gemma":0.005167395,"domain_scores_codex":[0.9954897,0.003293084,0.0001861192,0.0002474546,0.0006294994,0.0001542309],"domain_scores_gemma":[0.9921146,0.005629162,0.0008472637,0.0002331661,0.0005812059,0.0005945957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001857049,0.01984733,0.3418952,0.001473786,0.0002976522,0.0002672136,0.009064984,0.001855863,0.002487373,0.00050031,0.004887007,0.6155663],"study_design_scores_gemma":[0.002128053,0.02024882,0.9477804,0.0009315264,0.0003982565,0.0005533103,0.005213676,0.01475567,0.002161036,0.0010929,0.004615904,0.0001204989],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767278,0.000602003,0.009368742,0.00182403,0.0000688925,0.003498288,0.0003369726,0.0003294953,0.007243808],"genre_scores_gemma":[0.9566806,0.0006294118,0.038877,0.0003100135,0.00002920143,0.002706647,0.0001841538,0.000007800008,0.0005751266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005538898,"threshold_uncertainty_score":0.02929282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03756005599687552,"score_gpt":0.3709005253439026,"score_spread":0.3333404693470271,"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."}}