{"id":"W2978679047","doi":"10.1177/0145482x0209600802","title":"Assistive Technology Needs in Public Libraries: A Survey","year":2002,"lang":"en","type":"article","venue":"Journal of Visual Impairment & Blindness","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Assistive technology; Psychology; Medical education; Medicine; Geography; Computer science","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":[0.001274459,0.0001521991,0.0003335477,0.001757757,0.0009991847,0.0009569078,0.0003742115,0.0006279811,0.002394882],"category_scores_gemma":[0.003927773,0.0003923147,0.0002411847,0.002614125,0.0004343526,0.001341375,0.0008334634,0.0006529338,0.0006058903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173248,"about_ca_system_score_gemma":0.001356816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0268666,"about_ca_topic_score_gemma":0.03328975,"domain_scores_codex":[0.9988784,0.0002840919,0.0001405089,0.00007258398,0.0003337682,0.0002906163],"domain_scores_gemma":[0.9964888,0.0007182135,0.001218466,0.0001023222,0.0008089054,0.0006632964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005590003,0.0003055071,0.9768694,0.00008796019,0.00001589548,0.0002414118,0.01228184,0.0000353603,0.0004158803,0.00005532871,0.001204529,0.008430959],"study_design_scores_gemma":[0.000006567156,0.0002241004,0.9728505,0.00003745867,0.00001002675,0.0002996515,0.02377542,0.0001185255,0.0001134432,0.00002530489,0.002526877,0.00001206786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987374,0.0000757341,0.00002626737,0.0001889928,0.000001464064,0.00002167775,0.0003225781,0.00000395891,0.000622018],"genre_scores_gemma":[0.9981291,0.0002985608,0.0001003343,0.000318237,0.00001001979,0.00007033277,0.0003654482,0.000003388358,0.0007046291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0268666,"threshold_uncertainty_score":0.05342048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07893981559049883,"score_gpt":0.356835874087451,"score_spread":0.2778960584969521,"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."}}