{"id":"W4394061467","doi":"10.2196/58311","title":"Evaluating the Energy Efficiency of Popular US Smartphone Health Care Apps: Comparative Analysis Study Toward Sustainable Health and Nutrition Apps Practices","year":2024,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Efficient energy use; Internet privacy; Energy (signal processing); Business; Environmental economics; Computer science; Engineering; Economic growth; Economics","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":[0.004858937,0.0002689404,0.0004342609,0.003203289,0.0007703516,0.001634748,0.0004322475,0.0004610526,0.002033702],"category_scores_gemma":[0.01856943,0.0002219495,0.001063797,0.003434763,0.0008122253,0.001643449,0.001338047,0.0004515034,0.0002523541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203649,"about_ca_system_score_gemma":0.001283862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006215758,"about_ca_topic_score_gemma":0.01380504,"domain_scores_codex":[0.9966606,0.00139708,0.0004356008,0.0003691842,0.0009256808,0.0002118863],"domain_scores_gemma":[0.9864886,0.007348904,0.002527091,0.0003678598,0.002949806,0.000317711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007962742,0.0008549761,0.8428138,0.001215297,0.0006707245,0.0002456249,0.04725809,0.0002354624,0.001779975,0.0008145167,0.001045442,0.1022699],"study_design_scores_gemma":[0.00002116891,0.001119914,0.9507736,0.000315626,0.0002699581,0.0001734987,0.0427565,0.0005783732,0.0007489653,0.0001865597,0.003021984,0.00003374459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970987,0.0004492152,0.0004221105,0.00009025868,0.00000696653,0.0001045428,0.0002802522,0.000006059933,0.001541891],"genre_scores_gemma":[0.9973363,0.0005376606,0.001154876,0.000067131,0.000008547308,0.000201153,0.0002469255,0.000007793272,0.000439551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006215758,"threshold_uncertainty_score":0.02569681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.168378218895222,"score_gpt":0.5499464360815206,"score_spread":0.3815682171862986,"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."}}