{"id":"W4411191501","doi":"10.2196/72781","title":"Addressing the Ethical, Legal, and Social Issues of Healthtech in Education: Insights From Japan","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Engineering ethics; Ethical issues; Political science; Sociology; Psychology; Engineering; Computer science","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":[0.01931733,0.0005600922,0.0007336183,0.001932317,0.01421495,0.008012077,0.001280051,0.00310915,0.001010922],"category_scores_gemma":[0.01591471,0.0006891913,0.0005701747,0.002351709,0.0157512,0.005788053,0.01022021,0.004829048,0.000172229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01169498,"about_ca_system_score_gemma":0.02006312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04016614,"about_ca_topic_score_gemma":0.0759379,"domain_scores_codex":[0.9867518,0.00821365,0.001006465,0.0006258044,0.001628004,0.001774327],"domain_scores_gemma":[0.97251,0.01790682,0.003341076,0.0009503664,0.002714779,0.002576988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002751839,0.00008875898,0.0165229,0.0003534515,0.00001074434,0.002284287,0.9582211,0.00007407807,0.001031408,0.008530982,0.001135054,0.01171972],"study_design_scores_gemma":[0.00001144819,0.00006212945,0.01980277,0.000636315,0.00003795225,0.0006165857,0.9453873,0.0002973982,0.0005614647,0.003387858,0.02914092,0.00005786833],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941698,0.00498521,0.003190055,0.03201123,0.0001331252,0.0001117622,0.00003124652,0.00001748053,0.01782193],"genre_scores_gemma":[0.9896053,0.002739184,0.001567319,0.004349038,0.00004330428,0.00005246658,0.00001715937,0.00001764218,0.001608593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04016614,"threshold_uncertainty_score":0.102161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.214278079186852,"score_gpt":0.5908034642595831,"score_spread":0.3765253850727311,"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."}}