{"id":"W3187065289","doi":"10.1075/sll.20010.enn","title":"Challenges and solutions in test adaption","year":2021,"lang":"en","type":"article","venue":"Sign Language & Linguistics","topic":"Hearing Impairment and Communication","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Terminology; Sign language; Parallels; Computer science; Adaptation (eye); Normative; Test (biology); German; Sign (mathematics); Linguistics; Linguistic competence; Process (computing); Competence (human resources); American Sign Language; Psychology; Social psychology; Programming language; Political science; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002261391,0.00006274567,0.00008390487,0.00004625663,0.0000520772,0.00001380545,0.00006439523,0.00007141055,0.0001081553],"category_scores_gemma":[0.001566121,0.00007013971,0.00001497727,0.00007307706,0.00003130402,0.000009183281,0.00005698728,0.0001456286,0.00005691961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002189636,"about_ca_system_score_gemma":0.00002733782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009036174,"about_ca_topic_score_gemma":0.0004657565,"domain_scores_codex":[0.9994038,0.00009515142,0.0001293454,0.0001457168,0.00005803315,0.0001679107],"domain_scores_gemma":[0.999318,0.0002341429,0.00002676107,0.0003184513,0.00006536947,0.00003729743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003283278,0.00143778,0.01091778,0.00009100352,0.00005526665,0.000601549,0.08430544,0.00001388294,0.00477222,0.4829871,0.001526207,0.4132589],"study_design_scores_gemma":[0.002562322,0.0004651917,0.8216,0.0003237719,0.0001035989,0.0001074045,0.05512951,0.001385285,0.0004975295,0.01207807,0.1049286,0.0008187224],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1975689,0.09631603,0.000711365,0.001611109,0.001308767,0.0002994823,0.00002146715,0.0002587914,0.7019041],"genre_scores_gemma":[0.9970587,0.0005557346,0.000889418,0.00008707998,0.0002718644,0.00001266927,0.00002241767,0.00001045237,0.001091595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8106822,"threshold_uncertainty_score":0.2860215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08470826336364018,"score_gpt":0.3501414089854423,"score_spread":0.2654331456218021,"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."}}