{"id":"W3123202131","doi":"10.48550/arxiv.2101.08319","title":"Communication Aid for Non-English Speaking Newcomers","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Language, Linguistics, Cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Usability; Pictogram; Computer science; Relevance (law); Personalization; Focus group; Fluency; Process (computing); Literacy; Human–computer interaction; Psychology; World Wide Web; Linguistics; Mathematics education; Pedagogy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001639761,0.0002796389,0.0004082427,0.0001477868,0.0004901209,0.000397622,0.0007554892,0.0001541383,0.0008599448],"category_scores_gemma":[0.0002211994,0.0002886535,0.0004484394,0.00009163925,0.0002135525,0.0001967947,0.0007199441,0.0004313923,0.00002760826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002005561,"about_ca_system_score_gemma":0.00007250377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002878566,"about_ca_topic_score_gemma":0.008474406,"domain_scores_codex":[0.9987725,0.00007664382,0.0002351218,0.0005789221,0.00007104762,0.0002657492],"domain_scores_gemma":[0.9976622,0.0001307926,0.0003130509,0.0008652182,0.0009390945,0.00008963469],"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":[0.0001099484,0.0003086293,0.001387449,0.0007530954,0.00182899,0.0002030618,0.189017,0.037055,0.00002675324,0.7646481,0.004016693,0.0006452647],"study_design_scores_gemma":[0.003652477,0.0001540749,0.0003406881,0.001578427,0.005727185,0.000002579832,0.2991562,0.2020358,0.0002584862,0.05944135,0.4235685,0.004084175],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7759653,0.0003907327,0.01440786,0.0002092291,0.003547319,0.0009820123,0.0003220821,0.0004834209,0.2036921],"genre_scores_gemma":[0.9846335,0.0001259038,0.0005273334,0.0001303243,0.001006567,0.000002092023,0.0007156763,0.00003100979,0.0128276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7052068,"threshold_uncertainty_score":0.9999565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09246999506545517,"score_gpt":0.1986868878489667,"score_spread":0.1062168927835116,"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."}}