{"id":"W3159861682","doi":"10.1103/physreve.104.024403","title":"Motor strategies and adiabatic invariants: The case of rhythmic motion in parabolic flights","year":2021,"lang":"en","type":"article","venue":"Physical review. E","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles","keywords":"Metronome; Adiabatic process; Invariant (physics); Physics; Bounded function; Phase plane; Motion (physics); Adiabatic invariant; Classical mechanics; Control theory (sociology); Plane (geometry); Mathematical analysis; Mathematics; Computer science; Rhythm; Geometry; Mathematical physics; Control (management); Quantum mechanics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001013548,0.00007410647,0.0002031913,0.0000159008,0.00003960614,0.00003044071,0.00005273837,0.00001098276,0.00001081669],"category_scores_gemma":[0.000532767,0.00004735969,0.00004502824,0.0002230982,0.00005214502,0.0002227496,0.00002226054,0.00008327647,0.00001105052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007044018,"about_ca_system_score_gemma":0.00003915658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003989982,"about_ca_topic_score_gemma":0.00004383917,"domain_scores_codex":[0.9992089,0.0002462044,0.0001766022,0.0001803557,0.00008841789,0.00009958154],"domain_scores_gemma":[0.9994451,0.0002626928,0.00007672208,0.0001593405,0.00002500191,0.00003112047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001433668,0.0002455698,0.00002347093,0.0009926371,0.00000615227,0.0006451587,0.0006263687,0.00004983055,0.7013866,0.2428235,0.00001797516,0.0531684],"study_design_scores_gemma":[0.004811028,0.0007150394,0.08145359,0.007285469,0.0005122408,0.002946647,0.001261902,0.2493608,0.1662604,0.4766003,0.007295197,0.001497451],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945844,0.003603736,0.0001782574,0.0009404883,0.0000369042,0.0003081036,0.000006080955,0.000007493544,0.0003345419],"genre_scores_gemma":[0.9961078,0.003259184,0.00001345806,0.0005047129,0.00005335675,0.00003877852,9.263635e-7,0.000004432637,0.00001740021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5351263,"threshold_uncertainty_score":0.1931272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03215209638265303,"score_gpt":0.3125442391857672,"score_spread":0.2803921428031141,"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."}}