{"id":"W2741320854","doi":"","title":"Zhang_Yu_2016_MDes_INCD_A Culturally Inclusive AAC App for Children with Autism in China","year":2016,"lang":"en","type":"other","venue":"OCAD University Open Research Repository (OCAD University)","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autism; Augmentative and alternative communication; China; Zhàng; Mandarin Chinese; Psychology; Augmentative; Mobile apps; Multimedia; Computer science; Developmental psychology; Linguistics; World Wide Web; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004480567,0.0004191769,0.000181483,0.0005912641,0.001178334,0.0004632984,0.0004953551,0.0003408552,0.01992974],"category_scores_gemma":[0.0009902597,0.0001233445,0.0003273511,0.0003695253,0.0004305558,0.0009865542,0.001785221,0.0003445177,0.002693823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006694838,"about_ca_system_score_gemma":0.00246639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02647329,"about_ca_topic_score_gemma":0.05413404,"domain_scores_codex":[0.9997568,0.00004790374,0.00002482845,0.00003387386,0.00007968778,0.0000569277],"domain_scores_gemma":[0.9997777,0.00003530473,0.00001250636,0.00002001913,0.00006740419,0.00008700262],"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":[0.0002847183,0.000337696,0.04052075,0.0009740936,0.00002475522,0.002726641,0.0126408,0.000564724,0.01612173,0.003463822,0.1091042,0.8132361],"study_design_scores_gemma":[0.000170718,0.000669513,0.2140348,0.0006560592,0.0001674155,0.002952981,0.01727849,0.006646419,0.02094002,0.002428802,0.7337976,0.0002571553],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7340993,0.001718963,0.01510494,0.003734196,0.0005274125,0.0009335259,0.003123292,0.00663149,0.2341268],"genre_scores_gemma":[0.8118775,0.002349066,0.02976439,0.0007902772,0.00006065131,0.001147541,0.002952539,0.0004808579,0.150577],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02647329,"threshold_uncertainty_score":0.06667161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05222167829498092,"score_gpt":0.4107654792589223,"score_spread":0.3585438009639413,"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."}}