{"id":"W2098906827","doi":"10.1093/icb/icm065","title":"Predictive and reactive tuning of the locomotor CPG","year":2007,"lang":"en","type":"article","venue":"Integrative and Comparative Biology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Central pattern generator; Sensory system; Proprioception; Neuroscience; Movement (music); Duration (music); Rhythm; Communication; Control theory (sociology); Biology; Psychology; Computer science; Physics; Artificial intelligence; Acoustics; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001015401,0.0001348404,0.0002336414,0.0000746648,0.00008574259,0.000004998276,0.0000615574,0.00005434163,0.000006854852],"category_scores_gemma":[0.0000227207,0.00008004924,0.00003538281,0.0001773177,0.0004158362,0.00005809841,0.00003398412,0.0001764616,2.157514e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000197725,"about_ca_system_score_gemma":0.000007177927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002848393,"about_ca_topic_score_gemma":0.00009484666,"domain_scores_codex":[0.9994764,0.00005441665,0.000156179,0.0001292029,0.00003917138,0.0001446091],"domain_scores_gemma":[0.9994795,0.0002690117,0.00005502643,0.00007249871,0.0000930868,0.00003081926],"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":[0.0005637702,0.000134975,0.1675742,0.00006062755,0.00181797,0.000002044051,0.0458276,0.00003429486,0.5244718,0.2013702,0.002606583,0.05553588],"study_design_scores_gemma":[0.0005677789,0.0005932818,0.7685105,0.00007480824,0.00003527493,0.000008934512,0.01405672,0.001181185,0.2010682,0.00505829,0.008587359,0.0002577298],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582236,0.001012638,0.02067661,0.00006228753,0.0001145165,0.0002239707,0.00001761603,0.00003843967,0.01963037],"genre_scores_gemma":[0.999665,0.00008049534,0.0001249616,0.00003852448,0.00002693115,0.00002223322,0.000002101905,0.000003829697,0.00003598275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6009363,"threshold_uncertainty_score":0.3264313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02396115036018468,"score_gpt":0.2640940144103579,"score_spread":0.2401328640501732,"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."}}