{"id":"W4295678358","doi":"10.2196/39869","title":"mHealth Technologies for Managing Problematic Pornography Use: Content Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Sexuality, Behavior, and Technology","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pornography; mHealth; Internet privacy; Computer science; Popularity; Mobile device; Mobile phone; Android (operating system); World Wide Web; Psychological intervention; Psychology","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":[0.007838778,0.0003601381,0.0005728989,0.01179017,0.000816849,0.002273119,0.0005344926,0.0003882528,0.002004953],"category_scores_gemma":[0.03140481,0.0001954232,0.0008985496,0.00889202,0.0007343367,0.002525234,0.001757043,0.0006336141,0.0004586719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002045523,"about_ca_system_score_gemma":0.00320446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002346499,"about_ca_topic_score_gemma":0.004389827,"domain_scores_codex":[0.9959226,0.00172517,0.0007007105,0.0002226366,0.001254523,0.0001743716],"domain_scores_gemma":[0.9695402,0.02073579,0.00416332,0.0007298726,0.004497466,0.0003333566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003923394,0.0004753631,0.1251187,0.01993884,0.0003146701,0.0004588627,0.05094614,0.0003819133,0.004540114,0.003146902,0.01239597,0.7818903],"study_design_scores_gemma":[0.0001156296,0.0008812964,0.7659383,0.02793934,0.00106404,0.001272397,0.07738835,0.005030938,0.005681356,0.004192287,0.1102947,0.000201411],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8948723,0.01858264,0.01965985,0.00451514,0.0002492117,0.01928218,0.01418972,0.0004867962,0.02816214],"genre_scores_gemma":[0.8562054,0.02292431,0.09132276,0.001093614,0.000274246,0.01809354,0.006028415,0.0001523357,0.003905426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01179017,"threshold_uncertainty_score":0.04145586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2689655180709876,"score_gpt":0.4994240822313022,"score_spread":0.2304585641603146,"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."}}