{"id":"W3188000207","doi":"10.2196/24955","title":"Using an mHealth App (iGAM) to Reduce Gingivitis Remotely (Part 2): Prospective Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gingivitis; Medicine; Observational study; mHealth; Intervention (counseling); Oral hygiene; Prospective cohort study; Hygiene; Dentistry; Physical therapy; Family medicine; Psychological intervention; 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":[0.002404193,0.000590986,0.0007983814,0.000625937,0.001297325,0.001179059,0.000536177,0.001211385,0.003635263],"category_scores_gemma":[0.004963121,0.00108931,0.001569704,0.0006659336,0.000515016,0.001290814,0.0008242512,0.001888894,0.0009749746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006440514,"about_ca_system_score_gemma":0.001071783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006820136,"about_ca_topic_score_gemma":0.006433702,"domain_scores_codex":[0.9987191,0.0003988591,0.000180816,0.0002441551,0.0002562437,0.0002008905],"domain_scores_gemma":[0.9971494,0.000639082,0.001162291,0.0002289967,0.000310363,0.0005098619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008521589,0.03409543,0.9305004,0.001128188,0.001010615,0.0003452628,0.004792622,0.00007967579,0.001274404,0.00007710198,0.001127847,0.01704684],"study_design_scores_gemma":[0.00126457,0.03267615,0.9599208,0.0002664984,0.0005539773,0.0002923122,0.003069945,0.0003021788,0.0002468641,0.00005211826,0.001299887,0.00005457786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984533,0.0003283823,0.00007424601,0.00003442019,0.00001141352,0.0004968863,0.000234457,0.0000044457,0.0003623954],"genre_scores_gemma":[0.9971992,0.0004257027,0.0003620597,0.0002409628,0.00002583745,0.0008322285,0.0002995632,0.000005740169,0.0006087209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006820136,"threshold_uncertainty_score":0.01356089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3457926894850145,"score_gpt":0.5343705868820383,"score_spread":0.1885778973970238,"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."}}