{"id":"W7075328755","doi":"","title":"The Text4HealthyAging Program: An Evidence-Based Text Messaging Innovation to Support Healthy Urban Aging in Canada and Australia","year":2022,"lang":"en","type":"article","venue":"NOVA (University of Newcastle Australia)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychosocial; Promotion (chess); Quality of life (healthcare); Closing (real estate); Health promotion; Text messaging; Quality (philosophy); Mobile technology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006520349,0.000572873,0.0006427155,0.001762872,0.003245451,0.00215295,0.002111827,0.0009960994,0.003859541],"category_scores_gemma":[0.01666182,0.0002366594,0.001053475,0.001740574,0.001127269,0.001081398,0.003157378,0.001957871,0.0003039148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03292911,"about_ca_system_score_gemma":0.1557077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8730707,"about_ca_topic_score_gemma":0.9625093,"domain_scores_codex":[0.9955348,0.001148325,0.0003626549,0.0002298094,0.002084953,0.0006395367],"domain_scores_gemma":[0.9907079,0.001805053,0.0007188945,0.0001582002,0.003192552,0.003417487],"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":[0.000714972,0.002657954,0.01905189,0.01710122,0.0004116564,0.0004873008,0.00975431,0.0006246215,0.0007268926,0.004267573,0.04503086,0.8991708],"study_design_scores_gemma":[0.003543676,0.006519705,0.3427733,0.0846283,0.005005462,0.0005029229,0.01653032,0.004088001,0.002939547,0.00401763,0.5288918,0.0005592492],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4738399,0.189874,0.01017768,0.1279918,0.005541466,0.02175558,0.006082898,0.001245621,0.1634911],"genre_scores_gemma":[0.7434572,0.1371599,0.06314166,0.0221425,0.0008576129,0.008819657,0.002469473,0.000135295,0.02181676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1269293,"threshold_uncertainty_score":0.2553537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2338717663804779,"score_gpt":0.3724791017708517,"score_spread":0.1386073353903738,"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."}}