{"id":"W4406726643","doi":"10.2196/67878","title":"Crisis Text Line and Loris.ai Controversy Highlights the Complexity of Informed Consent on the Internet and Data-Sharing Ethics for Machine Learning and Research","year":2025,"lang":"en","type":"editorial","venue":"Journal of Medical Internet Research","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"JMIR Publications","funders":"","keywords":"The Internet; Informed consent; Line (geometry); Research ethics; Internet privacy; Psychology; Computer science; Artificial intelligence; World Wide Web; Medicine; Alternative medicine; Psychiatry; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.03348364,0.003072681,0.004064007,0.004795975,0.008253971,0.01991745,0.005708224,0.06494761,0.008362363],"category_scores_gemma":[0.1137428,0.001486489,0.003185857,0.002390922,0.01098759,0.008744103,0.003251793,0.05962596,0.004265187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007369582,"about_ca_system_score_gemma":0.008278713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004928311,"about_ca_topic_score_gemma":0.0112169,"domain_scores_codex":[0.9798949,0.006508976,0.002255384,0.001737679,0.008581146,0.001021833],"domain_scores_gemma":[0.8433988,0.1300362,0.002732183,0.002090995,0.0159644,0.005777438],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002304367,0.00001028595,0.00001910946,0.0001435357,0.00001501471,0.0001255712,0.00007535129,0.00002154178,0.00002132161,0.002115985,0.9942778,0.003151524],"study_design_scores_gemma":[0.00009418261,0.00002562387,0.0002462491,0.0009892619,0.00007060931,0.0002472436,0.0002758604,0.0003207938,0.0001026402,0.01073578,0.9868476,0.00004426285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00004295092,0.003759713,0.0001660081,0.2022088,0.7922904,0.00001772028,0.00002894491,0.00002776084,0.001457722],"genre_scores_gemma":[0.0007605159,0.00189985,0.0001482707,0.07928729,0.9134713,0.00003027084,0.00001007631,0.00003275176,0.004359712],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9665164,"threshold_uncertainty_score":0.1770805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4555323857403375,"score_gpt":0.5949771583213125,"score_spread":0.139444772580975,"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."}}