{"id":"W6944124701","doi":"10.17613/wtcnb-v8j39","title":"Applications and innovations in typeface design for North American Indigenous languages","year":2020,"lang":"en","type":"article","venue":"Knowledge Commons (Lakehead University)","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Typeface; Indigenous; Consistency (knowledge bases); Indigenous language; Face (sociological concept); Cognitive reframing","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":[0.007841351,0.0005105046,0.0002622271,0.001281212,0.002878838,0.004599914,0.001547524,0.001517511,0.01175771],"category_scores_gemma":[0.01715086,0.0004262176,0.0005164632,0.001151802,0.003472152,0.005117195,0.003062491,0.001736338,0.002236089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002179524,"about_ca_system_score_gemma":0.002403518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005976071,"about_ca_topic_score_gemma":0.01262498,"domain_scores_codex":[0.996133,0.001997305,0.0002033404,0.0004062371,0.0009977353,0.0002624285],"domain_scores_gemma":[0.9899643,0.004657109,0.0004877393,0.001679307,0.00251117,0.0007003484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002082326,0.0001931366,0.01576521,0.00122683,0.0000326786,0.00144293,0.1042121,0.001787799,0.02251206,0.1130861,0.02169378,0.7178391],"study_design_scores_gemma":[0.00003053179,0.0003853256,0.01194385,0.001499602,0.00008150924,0.003972277,0.04354444,0.007080782,0.01232143,0.05423686,0.8647232,0.0001802733],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1900559,0.00784504,0.511488,0.02037462,0.002019539,0.0004698619,0.0001778707,0.00498422,0.262585],"genre_scores_gemma":[0.4818959,0.004935728,0.4357391,0.002427038,0.0003094101,0.0003971688,0.0001671532,0.001144507,0.07298394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01175771,"threshold_uncertainty_score":0.04146951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03896018643097306,"score_gpt":0.274908011512162,"score_spread":0.2359478250811889,"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."}}