{"id":"W4386807762","doi":"10.1016/j.sctalk.2023.100272","title":"Porn Tube sites: How do gratifications, interactivity and contextual age predict usage and addiction in India?","year":2023,"lang":"en","type":"article","venue":"Science Talks","topic":"Sexuality, Behavior, and Technology","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Gratification; Psychology; Interactivity; Addiction; Uses and gratifications theory; Arousal; Advertising; Social psychology; Fantasy; Multimedia; Social media; Art; Computer science; World Wide Web; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009543796,0.0001068788,0.0001434559,0.0005580177,0.0002036501,0.0001325098,0.0002317446,0.0001256826,0.00007831302],"category_scores_gemma":[0.0002599291,0.0001020776,0.00001349305,0.001141041,0.001229091,0.0003830732,0.0001375309,0.0002519632,0.00003470545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003927194,"about_ca_system_score_gemma":0.00003541888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001695193,"about_ca_topic_score_gemma":0.0003356868,"domain_scores_codex":[0.9987167,0.00008427518,0.0001546077,0.0005389637,0.0001918384,0.0003136841],"domain_scores_gemma":[0.9993387,0.000142977,0.00007091997,0.0003341493,0.00003292603,0.00008026262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003609767,0.0002532244,0.7698038,0.000008613189,0.00001335427,0.0001616093,0.01523739,2.361612e-7,0.05892298,0.02454764,0.002544773,0.1284702],"study_design_scores_gemma":[0.000362504,0.0001288635,0.9880006,0.00001184382,0.000007537348,0.00004119064,0.0081167,0.00006060346,0.0005213963,0.0009861618,0.001646187,0.0001163571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953868,0.0001122716,0.00002914867,0.0005108573,0.0004600817,0.0002434506,0.00004580519,0.000173964,0.00303762],"genre_scores_gemma":[0.9981331,0.00002036256,0.00003535927,0.000062911,0.00002672373,0.00006582929,0.00002283421,0.00000704878,0.001625858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2181968,"threshold_uncertainty_score":0.4528638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04523234746617778,"score_gpt":0.3541593819089001,"score_spread":0.3089270344427223,"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."}}