{"id":"W2920422229","doi":"","title":"A pilot study of computer auto-personalization at American job centers","year":2018,"lang":"en","type":"article","venue":"OCAD University Open Research Repository (OCAD University)","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Disability, Independent Living, and Rehabilitation Research; Ontario Ministry of Research and Innovation; European Commission","keywords":"Personalization; Set (abstract data type); Computer science; Field (mathematics); World Wide Web; Multimedia","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.0008273231,0.0002378931,0.0003758851,0.001024119,0.002395542,0.0002869726,0.006066841,0.00005314355,0.000002034156],"category_scores_gemma":[0.0000273515,0.0002877928,0.00007035574,0.002715977,0.001431084,0.001537347,0.005063375,0.000444279,0.00004000683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328167,"about_ca_system_score_gemma":0.0005365537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01191971,"about_ca_topic_score_gemma":0.002647767,"domain_scores_codex":[0.9953784,0.002129249,0.000224049,0.0006698451,0.0009920034,0.0006064153],"domain_scores_gemma":[0.9966608,0.0002937111,0.0002497983,0.001332349,0.001211447,0.0002519104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006710744,0.0009354794,0.0334157,0.00003174055,0.0002234715,0.0004678393,0.01082496,0.00002988393,0.00141405,0.9492318,0.002048888,0.0007050871],"study_design_scores_gemma":[0.01598376,0.05337365,0.4268053,0.0008078032,0.0002135328,0.0002199547,0.06139131,0.04926635,0.00693095,0.000212663,0.3816589,0.003135843],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6798354,0.000003952438,0.01719987,0.0002438597,0.0003414215,0.0007897267,0.000004816461,0.0001330215,0.3014479],"genre_scores_gemma":[0.9453609,0.00001438096,0.004848805,0.00004289244,0.00006218193,4.404496e-7,0.000004837666,0.0000164029,0.04964916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9490192,"threshold_uncertainty_score":0.9999574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09330764347648639,"score_gpt":0.308578892375833,"score_spread":0.2152712488993466,"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."}}