{"id":"W4220703766","doi":"10.2196/26374","title":"Weight Loss Trajectories in Healthy Weight Coaching: Cohort Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Novo Nordisk Fonden","keywords":"Weight loss; McNemar's test; Medicine; Health coaching; Coaching; Cohort; Weight management; Obesity; Test (biology); Psychological intervention; Physical therapy; Gerontology; Psychology; Randomized controlled trial; Mathematics; Statistics; Internal medicine; Nursing","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":[0.001430728,0.0004399933,0.0005532275,0.0005892324,0.0009893898,0.0009255044,0.0005917202,0.000781972,0.001745122],"category_scores_gemma":[0.001656595,0.0006439547,0.0008924778,0.00109598,0.000305055,0.0006858266,0.001031141,0.001134926,0.0006237033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004255212,"about_ca_system_score_gemma":0.0006978462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01409856,"about_ca_topic_score_gemma":0.01487673,"domain_scores_codex":[0.9991618,0.0001766238,0.00008243968,0.0002721834,0.0001425513,0.0001643984],"domain_scores_gemma":[0.999087,0.00007429916,0.0002358025,0.0002151739,0.0001418642,0.0002459133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005777588,0.0003618729,0.996703,0.00002504073,0.0001929124,0.0001141802,0.0003110474,0.00003018677,0.0002948574,0.00002375772,0.0002381149,0.001127318],"study_design_scores_gemma":[0.00007306104,0.0005343002,0.9980711,0.00001308112,0.0001060223,0.0001720407,0.0004954271,0.0001709128,0.00004060759,0.00001809719,0.0002959545,0.000009486398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985147,0.00009597685,0.0001648459,0.00002212186,0.00001129306,0.0000944522,0.0008448594,0.000003747064,0.000247965],"genre_scores_gemma":[0.9975902,0.0001064214,0.000292735,0.00005720995,0.00001439189,0.000174767,0.001304707,0.00000572144,0.000453777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01409856,"threshold_uncertainty_score":0.02803296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09351627672046652,"score_gpt":0.5161602293920523,"score_spread":0.4226439526715858,"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."}}