{"id":"W1985050853","doi":"10.1002/meet.2009.145046035","title":"Sign language online: Challenges in creating, posting, and linking to sign language content without text.","year":2009,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Hearing Impairment and Communication","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Toronto Public Health","funders":"","keywords":"Metadata; Sign language; Computer science; Sign (mathematics); World Wide Web; Studio; Linguistics; Multimedia","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":[0.01774534,0.0003462094,0.0003972756,0.001653572,0.002622087,0.007367768,0.001498831,0.001708609,0.00834946],"category_scores_gemma":[0.07649694,0.0004196845,0.0002532732,0.001312462,0.002527709,0.01496004,0.005585003,0.001564985,0.005754091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005949892,"about_ca_system_score_gemma":0.002334313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001888913,"about_ca_topic_score_gemma":0.003007082,"domain_scores_codex":[0.9908386,0.00504041,0.0006423722,0.000559217,0.002596792,0.0003226415],"domain_scores_gemma":[0.9469815,0.03518161,0.002638597,0.007665803,0.005767186,0.001765468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003697304,0.0005002986,0.01950497,0.0009382366,0.00003420411,0.001169495,0.06294297,0.0007467142,0.02566634,0.01833621,0.03377786,0.8360129],"study_design_scores_gemma":[0.0001106877,0.001128529,0.03525729,0.001943075,0.0001534826,0.01082356,0.1641025,0.01883657,0.05692726,0.1007446,0.6093101,0.0006623146],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6298335,0.00245087,0.2614855,0.02098425,0.0009367969,0.0008783657,0.001059673,0.0071968,0.07517439],"genre_scores_gemma":[0.7358367,0.002053123,0.2267373,0.002078764,0.0003406077,0.0005237658,0.0009312946,0.001533647,0.02996475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01774534,"threshold_uncertainty_score":0.09384739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03991034652177572,"score_gpt":0.3370594139312713,"score_spread":0.2971490674094955,"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."}}