{"id":"W4247175914","doi":"10.32920/ryerson.14660730","title":"Testing and Targeting a Mobile Application for Creatives","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Open Source Software Innovations","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; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008953973,0.000866234,0.0004525779,0.001225968,0.00106547,0.002875078,0.001779509,0.002736428,0.005723899],"category_scores_gemma":[0.0504228,0.0004938667,0.0006773995,0.0005474587,0.001473712,0.003648234,0.002326141,0.001607338,0.00315798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008581938,"about_ca_system_score_gemma":0.001041077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001482614,"about_ca_topic_score_gemma":0.001195219,"domain_scores_codex":[0.9909116,0.004676194,0.0005621242,0.0008397638,0.002173923,0.0008364257],"domain_scores_gemma":[0.9551604,0.03191536,0.001176831,0.003771553,0.006520793,0.001455181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004853124,0.01826057,0.1099472,0.003390829,0.0002072127,0.006251546,0.1061339,0.007694551,0.257142,0.02172492,0.01101783,0.4533763],"study_design_scores_gemma":[0.001726674,0.05930061,0.1623431,0.001768257,0.0006993214,0.006534853,0.08367351,0.1274922,0.3708906,0.01635754,0.1686742,0.0005391624],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9409691,0.00009353297,0.03709507,0.0007040072,0.0001515379,0.002164093,0.0002206549,0.001079867,0.0175222],"genre_scores_gemma":[0.9330884,0.0001105144,0.05294112,0.0005431059,0.00004420026,0.001689069,0.000371772,0.0003491825,0.01086274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008953973,"threshold_uncertainty_score":0.04735368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02765497516258969,"score_gpt":0.2957536846457844,"score_spread":0.2680987094831947,"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."}}