{"id":"W4285328913","doi":"10.2196/preprints.35285","title":"The Aim2Be mHealth Intervention for Children With Overweight or Obesity and Their Parents: Person-Centered Analyses to Uncover Digital Phenotypes (Preprint)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; McMaster University; Children's Hospital of Eastern Ontario; University of Calgary; University of Victoria; University of Ottawa; SickKids Foundation; University of Toronto; BC Children's Hospital; Hospital for Sick Children; University of British Columbia","funders":"","keywords":"mHealth; Overweight; Multinomial logistic regression; Phenotype; Psychological intervention; Obesity; Childhood obesity; Psychology; Medicine; Biology; Genetics; Internal medicine; Computer science","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":[0.007376236,0.0005177744,0.0008154456,0.0008522223,0.0009774868,0.001539443,0.0007313222,0.0006552356,0.007914822],"category_scores_gemma":[0.01940843,0.0004060502,0.003938538,0.001324854,0.0003905097,0.0009036396,0.002215127,0.001208483,0.0008567966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007041315,"about_ca_system_score_gemma":0.00154858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01106996,"about_ca_topic_score_gemma":0.01212481,"domain_scores_codex":[0.9944772,0.003625073,0.0003666066,0.0006399537,0.0005521011,0.0003391079],"domain_scores_gemma":[0.9889876,0.005829867,0.002825792,0.001091372,0.0009182941,0.0003471198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005361497,0.001610902,0.8944335,0.00179849,0.004746468,0.0001552592,0.006350884,0.0004794714,0.0006426453,0.00132301,0.01208118,0.07101658],"study_design_scores_gemma":[0.0003239644,0.001498932,0.9856923,0.0004900863,0.001788792,0.0000613029,0.003126727,0.001641781,0.0004090399,0.0006239386,0.004308593,0.0000345332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750609,0.001295224,0.008392129,0.0008932698,0.0001611736,0.001730551,0.01016014,0.0001078481,0.002198771],"genre_scores_gemma":[0.9731545,0.0004866805,0.01110067,0.0005041708,0.0000716439,0.008699734,0.004386645,0.00005272301,0.001543202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01106996,"threshold_uncertainty_score":0.03900975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1005337373927294,"score_gpt":0.4255950356264288,"score_spread":0.3250612982336994,"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."}}