{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003409152,0.0001379433,0.0001756805,0.00007158941,0.0001642808,0.0004910564,0.0004607533,0.00009968738,0.000004229431],"category_scores_gemma":[0.0006645652,0.0001402115,0.00003523165,0.0003340222,0.00002905408,0.0002092884,0.001459491,0.0001728907,0.000001977759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003081581,"about_ca_system_score_gemma":0.0001518421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008531004,"about_ca_topic_score_gemma":0.000003733206,"domain_scores_codex":[0.9988469,0.00002618125,0.0002558409,0.0006093389,0.0001104681,0.0001512374],"domain_scores_gemma":[0.9981166,0.0006973213,0.0001814375,0.0004711494,0.0004976334,0.00003589238],"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":[0.000004570309,0.0003222838,0.03078097,0.001215122,0.0001988206,0.000005636571,0.01205046,0.008541283,0.02232337,0.08676118,0.002922073,0.8348742],"study_design_scores_gemma":[0.0005003811,0.0001324572,0.01116999,0.0003929676,0.00004186267,0.00001917068,0.001571851,0.9082167,0.008722518,0.05640432,0.01150614,0.001321678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02307878,0.0001513889,0.97369,0.0002495086,0.0001439345,0.0009920326,0.000006966245,0.0002648225,0.001422552],"genre_scores_gemma":[0.2284627,0.000002062272,0.7699119,0.0001026216,0.00006673372,0.001171996,0.00003880663,0.00001057949,0.0002325325],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8996754,"threshold_uncertainty_score":0.571766,"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."}}