{"id":"W4415757206","doi":"10.2196/78657","title":"Detecting Perceived Unfair Treatment Among US College Students Using Mobile Sensing: Pilot Machine Learning Study","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychological intervention; Mobile device; Mental health; mHealth; Mobile technology; Mobile apps","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":[0.002699902,0.0005743295,0.0004882733,0.0006377283,0.000532121,0.0009969348,0.0008348433,0.0006861936,0.001307249],"category_scores_gemma":[0.01126396,0.0002530213,0.0006093421,0.0005811949,0.0005284338,0.0007008591,0.0008385217,0.001168,0.0004926146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004455271,"about_ca_system_score_gemma":0.0005943932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005051663,"about_ca_topic_score_gemma":0.006896562,"domain_scores_codex":[0.9987795,0.0006129455,0.00008823499,0.0002282168,0.0001424074,0.000148715],"domain_scores_gemma":[0.9934747,0.003710133,0.0009788396,0.0006040246,0.000727153,0.0005051295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009351745,0.005160138,0.8867614,0.0001210087,0.0001491839,0.0001835662,0.002090117,0.005248464,0.002930094,0.0002623493,0.001212483,0.09494603],"study_design_scores_gemma":[0.0001250505,0.004613014,0.8228123,0.000084345,0.0001554615,0.0003096324,0.004330828,0.1610939,0.003705972,0.001108197,0.00156937,0.00009201428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974276,0.00002063508,0.001941641,0.00009527709,0.000008351556,0.0001134458,0.0001328503,0.00002684412,0.0002333066],"genre_scores_gemma":[0.9957516,0.00004802756,0.003417353,0.00008372212,0.00002433844,0.0001489148,0.0002541068,0.000006038417,0.0002659034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005051663,"threshold_uncertainty_score":0.01427859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1247883413472451,"score_gpt":0.5315929918541039,"score_spread":0.4068046505068588,"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."}}