{"id":"W1982527966","doi":"10.1145/1054972.1055042","title":"A visual recipe book for persons with language impairments","year":2005,"lang":"en","type":"article","venue":"","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Recipe; Computer science; Presentation (obstetrics); Aphasia; Visual language; Natural language processing; Modal; Artificial intelligence; Human–computer interaction; Linguistics; Psychology; Cognitive psychology; Medicine","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":[0.0002557515,0.0006272126,0.000249687,0.000322195,0.0002442834,0.0004555178,0.000599745,0.0006950943,0.03809563],"category_scores_gemma":[0.002082375,0.0001192059,0.0003485277,0.000162807,0.0001636837,0.0009718386,0.0007953538,0.0004022925,0.01172003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001125043,"about_ca_system_score_gemma":0.0002501114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004995677,"about_ca_topic_score_gemma":0.001947291,"domain_scores_codex":[0.9999379,0.00002141032,0.000006165724,0.00001093841,0.00001654579,0.000007034437],"domain_scores_gemma":[0.9995657,0.0002357306,0.00002110078,0.00005392374,0.00006142425,0.0000622156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007048353,0.0007970828,0.00377135,0.001190488,0.00004509958,0.002657753,0.001098103,0.001025498,0.04752399,0.001728758,0.136891,0.8025661],"study_design_scores_gemma":[0.0007019603,0.003490028,0.03886239,0.0009085652,0.0002457646,0.03096572,0.003112665,0.03156058,0.09448522,0.01428939,0.7810122,0.0003655647],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.3485536,0.004374714,0.4184307,0.005924028,0.0008339508,0.002396323,0.008615538,0.08210137,0.1287699],"genre_scores_gemma":[0.3542775,0.002757998,0.5150011,0.00184785,0.0001384017,0.001034684,0.006862995,0.001586939,0.1164925],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03809563,"threshold_uncertainty_score":0.1274425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006463165865420177,"score_gpt":0.2984842159524936,"score_spread":0.2920210500870735,"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."}}