{"id":"W1511322390","doi":"10.1109/icsmc.1988.712924","title":"Towards a Better Aid for the Blind: A Talking Stenograph Stenex","year":2005,"lang":"en","type":"article","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001895473,0.001185871,0.0009846945,0.0008118351,0.003883768,0.004029578,0.001318312,0.005201708,0.02211168],"category_scores_gemma":[0.002596066,0.0004377192,0.0005404018,0.0002809201,0.002149691,0.004380635,0.004924158,0.002549598,0.006265293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005946236,"about_ca_system_score_gemma":0.002088187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003138365,"about_ca_topic_score_gemma":0.00431986,"domain_scores_codex":[0.9988244,0.0003785901,0.00007566951,0.0002027744,0.0003360882,0.0001823031],"domain_scores_gemma":[0.9990165,0.0001828466,0.00002118821,0.0001003684,0.0002717092,0.0004073028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002902685,0.001491928,0.005869066,0.002215045,0.0001372477,0.0132443,0.02711243,0.002566511,0.1720704,0.05459935,0.1060359,0.6117551],"study_design_scores_gemma":[0.0005184506,0.003970732,0.004254623,0.001364857,0.0004984093,0.04525361,0.02248772,0.01359702,0.08860309,0.03229227,0.7865666,0.0005924976],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3151797,0.007358653,0.4686963,0.03323714,0.008415169,0.001087099,0.000999777,0.01812882,0.1468973],"genre_scores_gemma":[0.4169699,0.003825059,0.3593238,0.006097716,0.0008976588,0.0004733729,0.0005801319,0.001276312,0.2105562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02211168,"threshold_uncertainty_score":0.07397097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02661470097922046,"score_gpt":0.2610047124380399,"score_spread":0.2343900114588194,"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."}}