{"id":"W2126962708","doi":"10.1007/s102090200017","title":"Dialoguing with developers and suppliers of adaptive computer technologies: Data and recommendations","year":2002,"lang":"en","type":"article","venue":"Universal Access in the Information Society","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dawson College","funders":"","keywords":"Adaptation (eye); Computer science; Sample (material); Software; Population; Computer users; Range (aeronautics); Multimedia; Psychology; Engineering; Medicine; Operating system","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":[0.000496569,0.00006460214,0.00008801447,0.00004793067,0.0002418052,0.0002333496,0.0006690475,0.00005564054,0.00001745482],"category_scores_gemma":[0.00009611173,0.00004669573,0.00001373812,0.0003809217,0.001042449,0.006116506,0.0003614074,0.0001001668,9.048884e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006538247,"about_ca_system_score_gemma":0.00003618802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003667811,"about_ca_topic_score_gemma":0.0004263496,"domain_scores_codex":[0.9993857,0.00003905341,0.0001718446,0.00009897476,0.0001821987,0.0001222609],"domain_scores_gemma":[0.9993336,0.0002876916,0.0001080415,0.0001855334,0.00006759755,0.00001754011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002717901,0.00008130681,0.04294362,0.00009386153,0.00007037583,3.585254e-7,0.6201244,0.00009122601,3.31489e-7,0.08512055,0.009446795,0.242],"study_design_scores_gemma":[0.00045883,0.00004317717,0.002884969,0.00005088099,0.00001157338,0.000001168932,0.9559962,0.009166097,0.000005539715,0.003847943,0.02737725,0.0001564017],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.822615,0.0001152651,0.01172438,0.01977947,0.0001497608,0.001448901,0.0004418834,0.000291054,0.1434343],"genre_scores_gemma":[0.995743,0.000251367,0.003767973,0.0001752363,0.000006674522,0.00000369543,0.00002985816,0.000001872072,0.0000203367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3358718,"threshold_uncertainty_score":0.4434319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06299181922669746,"score_gpt":0.2994958451858986,"score_spread":0.2365040259592011,"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."}}