{"id":"W2980282842","doi":"10.2196/14877","title":"Mobile Health for First Nations Populations: Systematic Review","year":2019,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Psychological intervention; Systematic review; Medicine; MEDLINE; Grey literature; Protocol (science); Family medicine; Gerontology; Environmental health; Alternative medicine; Nursing; Political science; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.005980159,0.001282913,0.009375075,0.001170633,0.007132979,0.0000370441,0.0007893795,0.001205595,0.0001524996],"category_scores_gemma":[0.001442919,0.001060772,0.0008226558,0.001893661,0.0001142314,0.0002128615,0.0002104591,0.002329162,0.001072084],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002385151,"about_ca_system_score_gemma":0.01657342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003080496,"about_ca_topic_score_gemma":0.001481619,"domain_scores_codex":[0.9835076,0.002664914,0.008193111,0.001828573,0.0007034309,0.00310237],"domain_scores_gemma":[0.9816862,0.00540216,0.007272985,0.00230978,0.0005984831,0.002730374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009083875,0.0001218433,0.000006624452,0.8318786,0.00004009335,2.896259e-7,0.0002221514,2.065235e-7,2.770065e-10,0.01794007,0.0486402,0.1011408],"study_design_scores_gemma":[0.0004544543,0.0004020665,0.000003343631,0.4271537,0.001340301,0.00001499417,0.0001053861,0.00001334036,2.472797e-10,0.0001383076,0.570007,0.0003671249],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[2.22972e-7,0.8307266,0.0003792945,0.001719939,0.001525503,0.1626359,0.001957364,0.0003848567,0.0006704108],"genre_scores_gemma":[0.000002006144,0.6514114,0.0008152554,0.008972805,0.000582153,0.3331291,0.002700833,0.0002157235,0.002170776],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5213668,"threshold_uncertainty_score":0.9999923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2653944952802557,"score_gpt":0.5685027590325171,"score_spread":0.3031082637522615,"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."}}