{"id":"W2996259875","doi":"","title":"Democratisation of Usable Machine Learning in Computer Vision","year":2019,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"USable; Democratization; Computer science; Artificial intelligence; Machine learning; Human–computer interaction; Multimedia; Political science; Democracy","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":[0.06071568,0.0007114456,0.0005467284,0.00356835,0.002174744,0.01415729,0.002400439,0.004271651,0.006961626],"category_scores_gemma":[0.110971,0.001027849,0.0006848338,0.00197748,0.02772114,0.02201878,0.01141657,0.008447884,0.003236811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003750304,"about_ca_system_score_gemma":0.004482101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002123669,"about_ca_topic_score_gemma":0.001559349,"domain_scores_codex":[0.9564677,0.03037074,0.001766475,0.00238543,0.007720931,0.001288691],"domain_scores_gemma":[0.7934322,0.1369269,0.007678057,0.04597756,0.01350616,0.002479065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008541079,0.0001545045,0.003225544,0.0003878456,0.00002487747,0.0001603517,0.01035251,0.001895493,0.002614217,0.8677437,0.005012984,0.1083424],"study_design_scores_gemma":[0.00004441087,0.0001124838,0.002262884,0.0007951458,0.00001797317,0.0002700705,0.003173351,0.01144675,0.005035308,0.8350612,0.1417253,0.00005513156],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06894001,0.002815133,0.6446185,0.09936475,0.0002951592,0.0003455938,0.0001939319,0.001768796,0.1816581],"genre_scores_gemma":[0.7872733,0.001513945,0.1894784,0.006399063,0.0004228256,0.0005055565,0.0001825227,0.0009113878,0.013313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06071568,"threshold_uncertainty_score":0.321099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02096037916967674,"score_gpt":0.2625800436945431,"score_spread":0.2416196645248663,"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."}}