{"id":"W7143302894","doi":"10.5281/zenodo.19324132","title":"PyComplexity: A Python module for computing the Attractor Complexity Index (ACI) from lower-back accelerometer time-series during gait.","year":2025,"lang":"","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Python (programming language); Attractor; Embedding; Accelerometer; Lyapunov exponent; Index (typography)","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":[0.0007318314,0.001625228,0.0008455475,0.0008532315,0.0005343176,0.00150642,0.002114359,0.00055936,0.06669421],"category_scores_gemma":[0.004454104,0.0008773312,0.001069446,0.000690736,0.0005106922,0.001938106,0.002231382,0.001497485,0.03389756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004788614,"about_ca_system_score_gemma":0.001375157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003947488,"about_ca_topic_score_gemma":0.006227365,"domain_scores_codex":[0.9996282,0.00002822919,0.00002528994,0.000109408,0.0001493925,0.00005940826],"domain_scores_gemma":[0.9994401,0.000145761,0.000055829,0.0001160749,0.0001683229,0.00007376327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001270523,0.0002079743,0.01015192,0.001796028,0.000405921,0.0004290559,0.000660716,0.01463952,0.03314095,0.01199313,0.6569272,0.2683769],"study_design_scores_gemma":[0.0004770399,0.0001932528,0.02629831,0.0003421202,0.0001403432,0.0008822664,0.0002053453,0.4906298,0.09139757,0.05867583,0.3302733,0.0004849421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.006958542,0.000198777,0.3934611,0.0002265124,0.0002312072,0.0002069068,0.03703186,0.5538771,0.007808017],"genre_scores_gemma":[0.2046032,0.0005670483,0.4492176,0.001114288,0.0002214173,0.00180566,0.1006664,0.2051297,0.03667479],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.06669421,"threshold_uncertainty_score":0.2231144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.106080823856357,"score_gpt":0.331340975425799,"score_spread":0.225260151569442,"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."}}