{"id":"W7097828975","doi":"","title":"The Roles of Emerging and Conventional Technologies in Serving Children and Adolescents with Special Needs in Rural and Northern Communities","year":2016,"lang":"en","type":"article","venue":"","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rural area; Emerging technologies; Professional development; Special needs; Early childhood education","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":[0.00437697,0.0002372303,0.0002745392,0.001033141,0.004843276,0.005516801,0.0008414068,0.001036565,0.006051539],"category_scores_gemma":[0.007926212,0.0002382069,0.0002925759,0.001119988,0.005704847,0.004207347,0.005491383,0.001655226,0.0003777531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003503067,"about_ca_system_score_gemma":0.008790012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04660768,"about_ca_topic_score_gemma":0.09881197,"domain_scores_codex":[0.9969404,0.001687738,0.0001025865,0.0002068604,0.0004683287,0.0005940896],"domain_scores_gemma":[0.9955409,0.002547377,0.0003527102,0.0001395815,0.0004892392,0.0009302112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001093345,0.0002096765,0.04411053,0.001929935,0.00002720932,0.002824586,0.6548381,0.000170373,0.001176995,0.03679559,0.006199988,0.2516077],"study_design_scores_gemma":[0.00001452346,0.0002495229,0.04251733,0.003463134,0.00003849434,0.001716955,0.8092238,0.00009823041,0.0003035024,0.004525597,0.1378106,0.00003836767],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7944286,0.03879738,0.001911493,0.02742993,0.0003653472,0.0001532123,0.0001047182,0.00003576098,0.1367735],"genre_scores_gemma":[0.960423,0.02890129,0.002349008,0.001112902,0.00005887566,0.0001455661,0.00003938892,0.00001819172,0.006951812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04660768,"threshold_uncertainty_score":0.09267277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02142545286835862,"score_gpt":0.3274097426931503,"score_spread":0.3059842898247916,"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."}}