{"id":"W1646348287","doi":"10.26686/wgtn.17006608","title":"The Challenges and Opportunities of Using Mobile Devices to Attain Maori Language Proficiency","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Immersion (Canada)","funders":"Mashhad University of Medical Sciences","keywords":"Pace; Mobile device; Indigenous; Indigenous language; Negotiation; Computer science; Foreign language; Multimedia; Psychology; Pedagogy; Mathematics education; World Wide Web; Sociology; Geography","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":[0.00058536,0.0001498116,0.0001753937,0.0001292798,0.0001429169,0.0001097891,0.0006324096,0.00009137481,0.000007636628],"category_scores_gemma":[0.00007407273,0.0001076831,0.00002952629,0.00007740506,0.00003058813,0.0001366428,0.00007871467,0.0001130299,0.0000048222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002347951,"about_ca_system_score_gemma":0.0001251141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008594646,"about_ca_topic_score_gemma":0.0001987337,"domain_scores_codex":[0.9988899,0.0001168096,0.0002434346,0.0003084507,0.0002611454,0.0001802447],"domain_scores_gemma":[0.9988646,0.0002297403,0.0002427223,0.0004804006,0.0001334771,0.00004905039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006227594,0.00004568386,0.0001097297,0.000534237,0.00002059759,0.000001354017,0.04461614,0.0002076534,0.0004784535,0.1036553,0.0001941477,0.8501305],"study_design_scores_gemma":[0.0008267001,0.002534471,0.07989837,0.003500287,0.0002498104,0.00007029809,0.5792589,0.1163127,0.01769702,0.006753152,0.1886934,0.004204928],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468495,0.01629157,0.005820007,0.0008428227,0.001345899,0.0009385445,0.000001385798,0.0001338671,0.02777636],"genre_scores_gemma":[0.9749004,0.001216267,0.01039574,0.0001648737,0.0001859144,0.0002295934,0.00002356753,0.00003251201,0.01285109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8459256,"threshold_uncertainty_score":0.4391188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0461287164454374,"score_gpt":0.327553748556428,"score_spread":0.2814250321109906,"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."}}