{"id":"W2003624730","doi":"10.1089/cpb.2006.9983","title":"Presence as Determined by Fractal Perceptual-Motor Dynamics","year":2007,"lang":"en","type":"article","venue":"CyberPsychology & Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; International Centre for Comparative Criminology; Computer Research Institute of Montréal; Université du Québec en Outaouais; Institut national de psychiatrie légale Philippe-Pinel","funders":"Canadian Institutes of Health Research; Université du Québec en Outaouais","keywords":"Gaze; Fractal; Dynamics (music); Computation; Perception; Fractal dimension; Computer science; Feeling; Fractal analysis; Computer vision; Artificial intelligence; Psychology; Cognitive psychology; Mathematics; Neuroscience; Mathematical analysis; Algorithm; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001896053,0.0001138561,0.0001710677,0.0004287546,0.0002575355,0.0006348402,0.0001678023,0.0002157002,0.001034937],"category_scores_gemma":[0.002669812,0.0002193368,0.0001963848,0.0001185553,0.0009343651,0.001100958,0.0006254671,0.0003536858,0.00007949224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002112805,"about_ca_system_score_gemma":0.0001052442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003435957,"about_ca_topic_score_gemma":0.0002442093,"domain_scores_codex":[0.9998879,0.00002551997,0.000005101083,0.00002318122,0.00003241603,0.00002575082],"domain_scores_gemma":[0.9991637,0.000426648,0.0001553081,0.00005621083,0.00008154749,0.0001164952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001681356,0.0001670263,0.06229592,0.000385796,0.0001277857,0.002666185,0.006774467,0.04663635,0.6068261,0.1980203,0.001145577,0.07327308],"study_design_scores_gemma":[0.0001315749,0.0008688772,0.2998176,0.00007653393,0.00007688031,0.003753066,0.001798319,0.4519915,0.02472255,0.2136684,0.002858479,0.0002362784],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694622,0.0001318846,0.02622252,0.0001221226,0.00001276799,0.00001257717,0.00002928766,0.00005461192,0.003952102],"genre_scores_gemma":[0.9988849,0.00001964064,0.0009725835,0.000003229994,0.0000027707,0.00000257172,0.000006675206,0.000004221466,0.0001034969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001034937,"threshold_uncertainty_score":0.003462255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02125745562339155,"score_gpt":0.3145838066472511,"score_spread":0.2933263510238595,"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."}}