{"id":"W4237336490","doi":"10.32920/ryerson.14660730.v1","title":"Testing and Targeting a Mobile Application for Creatives","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Craft; Social media; Computer science; Test (biology); Internet privacy; World Wide Web; Multimedia; Visual arts","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":[0.0002684882,0.0001557777,0.00018536,0.0001405325,0.000146168,0.000206169,0.0003842243,0.0001853011,0.000005359141],"category_scores_gemma":[0.0004307812,0.0001563092,0.00003302729,0.000218141,0.00005170966,0.0002526578,0.001090997,0.0003317986,0.000002512103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006070192,"about_ca_system_score_gemma":0.00007221322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004186252,"about_ca_topic_score_gemma":0.000005196375,"domain_scores_codex":[0.9988374,0.00002915041,0.0002473006,0.0006508764,0.00007993536,0.0001554136],"domain_scores_gemma":[0.9984213,0.0003629321,0.0002529364,0.0003884292,0.0005583278,0.00001610826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001249271,0.0002644898,0.005006207,0.0008321441,0.0002330043,0.000008995888,0.005099822,0.0009347897,0.3185678,0.2374535,0.001787868,0.4297989],"study_design_scores_gemma":[0.0003977809,0.0002352079,0.003593992,0.0003277793,0.00002747795,0.00003858883,0.001464135,0.7415791,0.1680204,0.07951803,0.003927329,0.0008702697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07901315,0.0001231008,0.9173096,0.0002206222,0.0002951205,0.0007766245,0.000002541405,0.0003237442,0.001935436],"genre_scores_gemma":[0.5067618,0.000003107402,0.4917021,0.0000776301,0.00005956019,0.001161023,0.00002394081,0.000008711189,0.0002020778],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7406443,"threshold_uncertainty_score":0.6374103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03058217212005517,"score_gpt":0.3128543925945224,"score_spread":0.2822722204744672,"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."}}