{"id":"W2784403971","doi":"10.11575/prism/25570","title":"Design and Implementation of a Wearable Device for Prosopagnosia Rehabilitation","year":2016,"lang":"en","type":"dissertation","venue":"PRISM (University of Calgary)","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CMC Microsystems","keywords":"Wearable computer; Rehabilitation; Physical medicine and rehabilitation; Human–computer interaction; Psychology; Wearable technology; Computer science; Medicine; Embedded system; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002291652,0.0005403967,0.0003987238,0.0004644337,0.0002123127,0.0005300809,0.001097362,0.0005528795,0.00472463],"category_scores_gemma":[0.0003803415,0.0002396873,0.0003083237,0.0002049197,0.0001329212,0.0003563686,0.0004151015,0.0002868738,0.001824908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001869447,"about_ca_system_score_gemma":0.0004541202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004116928,"about_ca_topic_score_gemma":0.0004346073,"domain_scores_codex":[0.9996418,0.00004284669,0.00003315853,0.00009262249,0.0001284507,0.00006111683],"domain_scores_gemma":[0.9997472,0.00002965998,0.00002548901,0.00003350765,0.0001340223,0.00003007459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006644134,0.0004264793,0.00569737,0.001040666,0.0001385887,0.001897964,0.0006474669,0.004500685,0.5526327,0.004336311,0.0119762,0.4160413],"study_design_scores_gemma":[0.0004115198,0.007565136,0.02922561,0.0004106115,0.0005182573,0.00766233,0.0005092822,0.1250245,0.6442732,0.001953233,0.1821819,0.0002644609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1560175,0.001059578,0.7978377,0.0006639867,0.0008239957,0.001888449,0.0006084731,0.006767948,0.03433239],"genre_scores_gemma":[0.6986009,0.0007448274,0.2707563,0.0006417018,0.0001187246,0.001181719,0.000447594,0.0002246,0.02728359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00472463,"threshold_uncertainty_score":0.01580542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02620187381476077,"score_gpt":0.2774406127178803,"score_spread":0.2512387389031196,"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."}}