{"id":"W3168942487","doi":"","title":"Individual differences in prosodic imitation","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Imitation; Linguistics; Psychology; Cognitive psychology; Communication; Social psychology; Philosophy","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":[0.004751067,0.0003081508,0.000431939,0.0003313502,0.0001745669,0.001435015,0.002557694,0.0003194346,0.00002943503],"category_scores_gemma":[0.001458986,0.0003239185,0.0001600258,0.0007093142,0.0001212217,0.0003659891,0.002281841,0.000636628,0.00003077165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000109421,"about_ca_system_score_gemma":0.0006535019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001738527,"about_ca_topic_score_gemma":0.00392514,"domain_scores_codex":[0.992048,0.005278344,0.0006096604,0.001007423,0.0006601615,0.0003964033],"domain_scores_gemma":[0.9950605,0.001058987,0.0004553955,0.002095422,0.001166553,0.0001631316],"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":[0.00002087801,0.002809151,0.1341179,0.001019901,0.0002624207,0.0001462332,0.1674508,0.0001481126,0.004188485,0.376199,0.001946782,0.3116904],"study_design_scores_gemma":[0.003496588,0.000003275791,0.7027576,0.01321318,0.00009586748,0.00008572023,0.002055695,0.1186813,0.08989632,0.06366137,0.002647683,0.003405425],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4798396,0.002055171,0.4863878,0.006665654,0.00095263,0.0007349811,0.00003121284,0.0003651055,0.02296785],"genre_scores_gemma":[0.9266497,0.0001696374,0.07164893,0.00007748912,0.00002575818,0.00013328,0.0003337653,0.00001777966,0.0009436327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5686398,"threshold_uncertainty_score":0.9999213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02654876190691953,"score_gpt":0.2286917089228975,"score_spread":0.202142947015978,"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."}}