{"id":"W4283642911","doi":"10.2196/40273","title":"Correction: “Viewing Mobile Health Technology Design Through the Lens of Amplification Theory”","year":2022,"lang":"en","type":"erratum","venue":"JMIR mhealth and uhealth","topic":"Persona Design and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Lens (geology); Optometry; Internet privacy; Human–computer interaction; Medicine; Optics; Physics","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":[0.01416793,0.003256471,0.002559523,0.005338853,0.009265982,0.009054216,0.005380373,0.01270643,0.09737808],"category_scores_gemma":[0.2103073,0.001838475,0.002327606,0.005106423,0.006950381,0.00541765,0.00494054,0.02392434,0.05796059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008328994,"about_ca_system_score_gemma":0.0175287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05634072,"about_ca_topic_score_gemma":0.05295972,"domain_scores_codex":[0.9753891,0.004523832,0.003831967,0.001903581,0.01316382,0.001187672],"domain_scores_gemma":[0.8263877,0.04318399,0.007088692,0.006589972,0.1129453,0.003804222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009462081,0.000001833582,0.00001763333,0.00006387962,0.000002562777,0.00003954388,0.00004429355,0.00001016205,0.000009944548,0.0004402749,0.9972135,0.002146855],"study_design_scores_gemma":[0.00005796393,0.00001418395,0.0002893689,0.0006477794,0.00002183908,0.000221604,0.0002356365,0.0001526136,0.0001541761,0.001309916,0.9968484,0.00004653772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00008077065,0.001002451,0.000847767,0.1431939,0.8490119,0.00004975808,0.001221378,0.0005859301,0.004006069],"genre_scores_gemma":[0.0126239,0.00910647,0.01067167,0.3732132,0.2815149,0.001134694,0.00384862,0.003125622,0.3047609],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09737808,"threshold_uncertainty_score":0.3257621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09625766089659085,"score_gpt":0.3728584646258316,"score_spread":0.2766008037292407,"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."}}