{"id":"W2972936384","doi":"","title":"Mobile applications for Indigenous language learning: Literature review and app survey","year":2019,"lang":"en","type":"article","venue":"","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Indigenous; Mobile apps; Context (archaeology); Indigenous language; Process (computing); Public relations; Computer science; World Wide Web; Political science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00669606,0.0006570895,0.001550385,0.01478332,0.001045847,0.002400248,0.000986448,0.001207807,0.004015123],"category_scores_gemma":[0.02792995,0.0006003089,0.001428623,0.01415368,0.0008776894,0.003506762,0.001820457,0.001296487,0.0009373562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657291,"about_ca_system_score_gemma":0.01241363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008133336,"about_ca_topic_score_gemma":0.02035856,"domain_scores_codex":[0.9960853,0.001229187,0.001015783,0.0002678168,0.00120026,0.0002017212],"domain_scores_gemma":[0.9558963,0.03328371,0.002784501,0.0004293588,0.007169638,0.0004365658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001815657,0.0002006343,0.004942532,0.3594841,0.0004091971,0.0007692371,0.005844827,0.0003376532,0.001301626,0.002505831,0.01638757,0.6076353],"study_design_scores_gemma":[0.00004182332,0.000661577,0.03201592,0.5164014,0.003054516,0.002805082,0.01498249,0.0003765251,0.001178833,0.001384096,0.4269691,0.0001287492],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.009405352,0.9809991,0.001070649,0.001910424,0.0002331829,0.0006890423,0.0009091062,0.00004221582,0.004740932],"genre_scores_gemma":[0.0222128,0.9731166,0.00220391,0.0007972324,0.00009639812,0.0005452671,0.0004723883,0.00001708026,0.0005383005],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01478332,"threshold_uncertainty_score":0.03541255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007035525368198433,"score_gpt":0.2821786364573235,"score_spread":0.275143111089125,"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."}}