{"id":"W1868922036","doi":"10.1002/meet.2014.14505101013","title":"Understanding networked youth and online privacy: Questions, methods and implications","year":2014,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of Oklahoma","keywords":"Internet privacy; Variety (cybernetics); Social media; Harm; Brainstorming; Negotiation; Online participation; Psychology; Digital media; Session (web analytics); Public relations; Sociology; Computer science; The Internet; Social psychology; Political science; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.05486793,0.0007417794,0.0005443344,0.004020602,0.007973608,0.007411161,0.002648677,0.002430132,0.01291047],"category_scores_gemma":[0.03062918,0.0006351604,0.000793266,0.005463758,0.01018331,0.009822692,0.006677984,0.002288725,0.0008018391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007605269,"about_ca_system_score_gemma":0.01036757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009321247,"about_ca_topic_score_gemma":0.01182667,"domain_scores_codex":[0.9741692,0.02169085,0.0008365589,0.001048557,0.001210146,0.001044622],"domain_scores_gemma":[0.9685611,0.02400324,0.001320567,0.0018159,0.003230032,0.001069238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002603783,0.001288923,0.05116858,0.003518177,0.00004454063,0.001080752,0.507152,0.0004561769,0.001419456,0.2341117,0.009347417,0.190152],"study_design_scores_gemma":[0.0001044566,0.0003407076,0.01539099,0.004619158,0.00009006242,0.000580052,0.8144895,0.001503325,0.002375433,0.05491073,0.1055188,0.00007673664],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4801109,0.01799735,0.2297207,0.06573865,0.001378234,0.03576188,0.002360668,0.0001639708,0.1667675],"genre_scores_gemma":[0.7489629,0.0126398,0.1303546,0.007368749,0.0004647509,0.07734843,0.0005447913,0.00008858397,0.02222745],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05486793,"threshold_uncertainty_score":0.2901728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06105662242850377,"score_gpt":0.3605561641507166,"score_spread":0.2994995417222128,"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."}}