{"id":"W4411209628","doi":"10.1080/10400435.2025.2499621","title":"Website navigation: Access to online resources to determine eligibility for augmentative &amp; alternative communication (AAC) technology in Canada","year":2025,"lang":"en","type":"article","venue":"Assistive Technology","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Augmentative and alternative communication; Assistive technology; Computer science; Universal design; Telecommunications; Multimedia; World Wide Web; Medicine; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008582684,0.0003630022,0.0007532317,0.001601438,0.0008499423,0.00001363725,0.002489,0.0006161743,0.00008967957],"category_scores_gemma":[0.003248049,0.0003745733,0.00005948062,0.003616338,0.0005228404,0.0001290032,0.002514917,0.001314754,0.00006772637],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00430492,"about_ca_system_score_gemma":0.001569836,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.166549,"about_ca_topic_score_gemma":0.9217624,"domain_scores_codex":[0.9964352,0.000529551,0.001175535,0.0009209499,0.000196265,0.000742459],"domain_scores_gemma":[0.99415,0.001895402,0.0004730342,0.002257278,0.001108549,0.0001157517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003596606,0.0002577661,0.9457334,0.00008719524,0.0001014539,0.000003945963,0.0002859707,0.00003550193,0.001028209,0.009719331,0.01048071,0.03190691],"study_design_scores_gemma":[0.001632034,0.0001850339,0.8139323,0.0008067594,0.00004991413,0.00000250047,0.007467695,0.000178384,0.002626055,0.02310229,0.1495485,0.0004684835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8876268,0.0001597175,0.01173402,0.09289496,0.0002884932,0.004060997,0.0003719959,0.0004847191,0.002378249],"genre_scores_gemma":[0.9679272,0.00003773455,0.02161973,0.003735146,0.00001954692,0.005353324,0.00018433,0.00002800251,0.001095053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7552134,"threshold_uncertainty_score":0.9998706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08994815655886507,"score_gpt":0.4927024735039779,"score_spread":0.4027543169451129,"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."}}