{"id":"W4299800644","doi":"","title":"\" How do you make numbers? \" : Rhythm and turn-taking when coordinating ear, eye and hand","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Rhythm; Turn (biochemistry); Turn-taking; Speech recognition; Communication; Psychology; Acoustics; Biology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006013505,0.0002559547,0.0003061235,0.0002073948,0.001041359,0.001845203,0.0005309093,0.0005094718,0.00008231771],"category_scores_gemma":[0.005737227,0.000274739,0.00006911535,0.0002547272,0.001001578,0.0002313229,0.0006685673,0.00073419,0.000006736029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001676335,"about_ca_system_score_gemma":0.0004229622,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004022227,"about_ca_topic_score_gemma":0.01872117,"domain_scores_codex":[0.99559,0.002731451,0.0002784823,0.0006621881,0.00040223,0.0003356331],"domain_scores_gemma":[0.9956738,0.0006128964,0.00064645,0.000820661,0.00202569,0.0002204811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008500679,0.0002179147,0.04136809,0.0001436448,0.00009716282,0.000005656103,0.2276946,0.000001967818,0.0004976197,0.4460023,0.003641502,0.280321],"study_design_scores_gemma":[0.002566423,0.000003648529,0.02268208,0.006670899,0.0003188626,0.0000642068,0.108658,0.005814226,0.01108116,0.1893295,0.6500648,0.002746324],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7131319,0.003974009,0.01504924,0.1447519,0.0006619261,0.0007739491,0.00004499212,0.0004233821,0.1211887],"genre_scores_gemma":[0.9564439,0.0006874707,0.01744359,0.00008921141,0.00006312416,0.00005726316,0.000097884,0.0000278951,0.02508966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6464232,"threshold_uncertainty_score":0.9999705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02462332367292452,"score_gpt":0.2831448037611941,"score_spread":0.2585214800882696,"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."}}