{"id":"W4411582344","doi":"10.1016/j.beproc.2025.105233","title":"Movement path as an ethological lens into interval timing","year":2025,"lang":"en","type":"article","venue":"Behavioural Processes","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interval (graph theory); Psychology; Movement (music); Path (computing); Lens (geology); Neuroscience; Communication; Computer science; Optics; Physics; Mathematics; Acoustics","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":[0.0008835151,0.0006628633,0.0003449315,0.001187197,0.0004918159,0.00169188,0.0007114846,0.0007454374,0.005684818],"category_scores_gemma":[0.002218011,0.0002693702,0.0004208092,0.0007717373,0.006327773,0.003034368,0.001189231,0.002516117,0.0003720087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008317874,"about_ca_system_score_gemma":0.0004498906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062545,"about_ca_topic_score_gemma":0.0009229419,"domain_scores_codex":[0.9994963,0.0001827942,0.00002610638,0.0001899098,0.00007571434,0.00002922446],"domain_scores_gemma":[0.9987683,0.0006141438,0.0002799112,0.0001647479,0.00009573033,0.00007716586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004508738,0.0001608666,0.01100381,0.0006910162,0.00007020842,0.0004713564,0.004626932,0.005512546,0.1288086,0.7323129,0.001866907,0.1140239],"study_design_scores_gemma":[0.00007641849,0.001497384,0.1266637,0.0006977689,0.00008728963,0.001530853,0.003813584,0.02440719,0.02801129,0.6871532,0.1258545,0.0002068347],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1981352,0.01550438,0.6727583,0.006423613,0.00164298,0.000143567,0.0008495653,0.0008333096,0.1037091],"genre_scores_gemma":[0.8522909,0.005927544,0.1292533,0.001788741,0.0007162826,0.0002574626,0.0001872714,0.0004165445,0.009161836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005684818,"threshold_uncertainty_score":0.01901764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1345355640444313,"score_gpt":0.3730439559241018,"score_spread":0.2385083918796705,"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."}}