{"id":"W4386401084","doi":"10.24908/agt.v1i2.16768","title":"Persona IQ- The Smart Knee","year":2023,"lang":"en","type":"article","venue":"Aging and (Geron) Technology","topic":"Persona Design and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Persona; Psychology; Medicine; Physical medicine and rehabilitation; Computer science; Human–computer interaction","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":[0.0001709603,0.0000811881,0.00008197558,0.0001579069,0.0003125679,0.00006017685,0.0005291253,0.00007357549,0.000003361376],"category_scores_gemma":[0.00001900803,0.00006010305,0.00002335113,0.0008748869,0.000154851,0.00007531561,0.0002452465,0.0001695636,0.0002121453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001087904,"about_ca_system_score_gemma":0.00001967702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002924903,"about_ca_topic_score_gemma":0.00001245538,"domain_scores_codex":[0.9992976,0.00001533941,0.0000776528,0.0002745013,0.00007992693,0.0002549706],"domain_scores_gemma":[0.9994017,0.0000699654,0.00002646386,0.0004546918,0.00001695123,0.00003016219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001067632,0.00002674042,0.003731156,0.00001552897,0.00002904128,0.00002393345,0.001666563,0.000005436346,0.007193407,0.5517242,0.01669328,0.4188896],"study_design_scores_gemma":[0.0009899343,0.000237432,0.02270149,0.0001164421,0.00003744126,0.0004144478,0.003330617,0.1163427,0.005149961,0.1351955,0.7145626,0.0009213773],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4958202,0.002738881,0.1924812,0.2933267,0.0004927084,0.0005157114,0.000005854279,0.006848667,0.007770035],"genre_scores_gemma":[0.9951553,0.00009725858,0.002363568,0.0005986782,0.00002877197,0.000068721,0.000001071871,0.000006475427,0.00168019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6978693,"threshold_uncertainty_score":0.2726769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822176143269002,"score_gpt":0.2445319155503555,"score_spread":0.2263101541176655,"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."}}