{"id":"W6888903583","doi":"10.25318/1310093701-eng","title":"Barriers to accessibility encountered by persons with disabilities or long-term conditions related to hardware or software on other devices excluding mobile or smartphone, aged 15 years and over, Canada, 2024","year":2025,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software; Mobile device; Mobile computing; Software technology","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":[0.001555444,0.001553939,0.001725946,0.005158028,0.00281245,0.002881115,0.004761328,0.001071089,0.01863295],"category_scores_gemma":[0.01021807,0.001264189,0.002938662,0.01406424,0.0005412772,0.00151279,0.001985295,0.002543986,0.004784783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04106214,"about_ca_system_score_gemma":0.08055405,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968109,"about_ca_topic_score_gemma":0.9968883,"domain_scores_codex":[0.998259,0.00008008928,0.0002762852,0.0002050964,0.0006850233,0.0004944561],"domain_scores_gemma":[0.9880214,0.0004066408,0.0007186174,0.0002354545,0.009573787,0.001044174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001675478,0.00006688036,0.04619346,0.001484071,0.0002076384,0.0000401254,0.0002307147,0.0005591594,0.00003872507,0.0007695724,0.9437591,0.006482854],"study_design_scores_gemma":[0.0009157592,0.00006900811,0.7659001,0.003087438,0.0005429105,0.0001350614,0.002751623,0.002255189,0.0003335619,0.0006438607,0.2232051,0.0001603884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001808852,0.0002190371,0.00005703307,0.0001905041,0.00003199766,0.00006874446,0.9964873,0.0000484341,0.001088194],"genre_scores_gemma":[0.01927125,0.001053922,0.0007392399,0.0003154406,0.00002602601,0.0005963692,0.9724697,0.00005131861,0.005476726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04106214,"threshold_uncertainty_score":0.2979281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125463428328184,"score_gpt":0.3083443622003522,"score_spread":0.2970897279170704,"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."}}