{"id":"W3100767352","doi":"10.1007/s11517-020-02257-y","title":"Age-related alterations on the capacities to navigate on a bike: use of a simulator and entropy measures","year":2020,"lang":"en","type":"article","venue":"Medical & Biological Engineering & Computing","topic":"Color perception and design","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Association Nationale de la Recherche et de la Technologie","keywords":"Entropy (arrow of time); Computer science; Detrended fluctuation analysis; Cross entropy; Simulation; Principle of maximum entropy; Mathematics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004751189,0.000314815,0.000211803,0.0005410799,0.0001325058,0.0003441866,0.0001568416,0.0003285614,0.001413218],"category_scores_gemma":[0.003946173,0.0001178139,0.0001815659,0.0003844511,0.0002815129,0.0004405908,0.0003930274,0.0002958635,0.0002015477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001497273,"about_ca_system_score_gemma":0.0001725183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002291802,"about_ca_topic_score_gemma":0.001436637,"domain_scores_codex":[0.9998155,0.00003075878,0.00002458134,0.00005613122,0.00004359297,0.00002942972],"domain_scores_gemma":[0.9980313,0.0006337991,0.0005262556,0.000232225,0.0003483833,0.0002281172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01004082,0.001787885,0.7748175,0.0001423696,0.0003526384,0.0009112013,0.005576355,0.002520372,0.1560762,0.0004770637,0.0004003487,0.04689731],"study_design_scores_gemma":[0.00001655036,0.001945453,0.9872134,0.000006054951,0.00007862955,0.0003064002,0.0005142359,0.001266972,0.008103138,0.0001383441,0.0003917002,0.00001916935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994211,0.00002861342,0.0001749805,0.000004968673,0.000003499534,0.000005208028,0.00007826692,0.000003923899,0.0002793498],"genre_scores_gemma":[0.9993467,0.00003232932,0.0001425864,0.000004620939,0.000002349996,0.000008350533,0.00007449225,0.000003339138,0.0003853215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002291802,"threshold_uncertainty_score":0.004727721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1089248307716436,"score_gpt":0.3025855526895393,"score_spread":0.1936607219178957,"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."}}