{"id":"W4391270367","doi":"10.1097/jpn.0000000000000792","title":"Pairing Evidence-Based Strategies With Motivational Interviewing to Support Optimal Nutrition and Weight Gain in Pregnancy","year":2024,"lang":"en","type":"article","venue":"The Journal of Perinatal & Neonatal Nursing","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Motivational interviewing; Weight gain; Pregnancy; Weight management; Medicine; Weight loss; Nutrition Education; Disordered eating; Interview; Obesity; Eating disorders; Family medicine; Clinical psychology; Gerontology; Endocrinology; Nursing; Body weight; Intervention (counseling)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.02015836,0.001492809,0.004045277,0.005886198,0.0006038487,0.002478784,0.001755404,0.001913784,0.005735908],"category_scores_gemma":[0.07257549,0.0007656767,0.007855302,0.003881535,0.0006060919,0.002687661,0.002270701,0.002199208,0.0004253101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002957809,"about_ca_system_score_gemma":0.008564644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004031559,"about_ca_topic_score_gemma":0.01021992,"domain_scores_codex":[0.981604,0.012121,0.003208278,0.0007114421,0.002031233,0.0003240737],"domain_scores_gemma":[0.9678669,0.02665051,0.003289304,0.0004680561,0.001401855,0.0003233051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.0007795751,0.0004466569,0.001414295,0.5124485,0.00772097,0.0000922766,0.001110379,0.0006432964,0.0002348064,0.001390861,0.001862225,0.4718561],"study_design_scores_gemma":[0.003513428,0.001677502,0.005706852,0.9347401,0.02568093,0.0001838683,0.0009967241,0.001037521,0.0004912202,0.00181635,0.02407263,0.00008289838],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01239277,0.9598781,0.005890514,0.004366189,0.001375626,0.009857523,0.0005267413,0.000111273,0.005601212],"genre_scores_gemma":[0.1317939,0.8021792,0.04619443,0.002964057,0.0004731421,0.01522338,0.000445512,0.00002438311,0.0007020929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02015836,"threshold_uncertainty_score":0.1066089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0404851498379291,"score_gpt":0.3388997268292951,"score_spread":0.298414576991366,"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."}}