{"id":"W6996299783","doi":"","title":"Research viewpoints by IRC: intelligent agents may provide support to older people or those with disabilities","year":2000,"lang":"en","type":"article","venue":"NPARC","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Viewpoints; Older people; Intelligent agent; Qualitative research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01460124,0.0009522031,0.001410052,0.003957204,0.005261017,0.009999933,0.002191854,0.01996409,0.1172613],"category_scores_gemma":[0.03597472,0.0005648637,0.001322809,0.004579434,0.002227087,0.006590405,0.002604675,0.01527707,0.03621048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007723433,"about_ca_system_score_gemma":0.02201311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02840102,"about_ca_topic_score_gemma":0.033951,"domain_scores_codex":[0.9921383,0.002024111,0.0005978973,0.001105705,0.003137588,0.0009963111],"domain_scores_gemma":[0.9417222,0.01743686,0.001754431,0.001744183,0.03267209,0.004670215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001866409,0.0002583167,0.001848385,0.0006947877,0.00003211054,0.0002238628,0.001037592,0.0000769477,0.0006839847,0.02320932,0.9123173,0.05943067],"study_design_scores_gemma":[0.000123361,0.0002251518,0.004352165,0.003014921,0.0001890703,0.0001747521,0.00288656,0.0002335357,0.0009120785,0.004485485,0.9833559,0.00004693213],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00278702,0.01636379,0.0004925035,0.5130896,0.03684611,0.0002183647,0.001012319,0.0001137961,0.4290765],"genre_scores_gemma":[0.06382378,0.06102302,0.004017493,0.2274286,0.03752035,0.0007146546,0.00212085,0.0002308489,0.6031205],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1172613,"threshold_uncertainty_score":0.3922783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06233752853612581,"score_gpt":0.3862724233997645,"score_spread":0.3239348948636387,"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."}}