{"id":"W2800827494","doi":"10.1177/2050157918764215","title":"Mobile methods: Explorations, innovations, and reflections","year":2018,"lang":"en","type":"article","venue":"Mobile Media & Communication","topic":"Focus Groups and Qualitative Methods","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Variety (cybernetics); Computer science; Field (mathematics); Data science; Mobile device; Internet privacy; World Wide Web; Artificial intelligence","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":[0.0594942,0.001358721,0.0008516321,0.00525034,0.006988131,0.01441506,0.002752063,0.003780965,0.005984306],"category_scores_gemma":[0.06128208,0.0008306369,0.0008611813,0.004842065,0.01688106,0.01886459,0.009750537,0.00728994,0.002058907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006094572,"about_ca_system_score_gemma":0.00761212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00113374,"about_ca_topic_score_gemma":0.001851195,"domain_scores_codex":[0.9586672,0.0330779,0.001162399,0.001224117,0.00458019,0.001288259],"domain_scores_gemma":[0.9226291,0.06640661,0.001229955,0.003131456,0.004848254,0.001754656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001217659,0.0002042361,0.001160739,0.004852423,0.00003121509,0.0009069635,0.4016608,0.0002144366,0.001441401,0.2548801,0.04777706,0.2867489],"study_design_scores_gemma":[0.00002000851,0.000149582,0.0005664714,0.00815702,0.00002013707,0.0009359547,0.1773436,0.0002670958,0.001261464,0.04370033,0.7675243,0.00005393485],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06513545,0.2058751,0.2540367,0.2257544,0.02880444,0.005220811,0.0007021244,0.0007815396,0.2136894],"genre_scores_gemma":[0.3696255,0.2416483,0.2525948,0.04617882,0.01155604,0.01261758,0.0004952814,0.001659577,0.06362404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0594942,"threshold_uncertainty_score":0.3146392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1757776907488593,"score_gpt":0.5298227091944333,"score_spread":0.354045018445574,"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."}}