{"id":"W2923852134","doi":"","title":"Stomp your hands and clap your feet: Exploring the behavioural links between motor and language systems","year":2017,"lang":"en","type":"article","venue":"","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Noun; Linguistics; Compatibility (geochemistry); Psychology; Communication; Cognitive psychology; Computer science; Artificial intelligence; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007443861,0.0001787009,0.0001786838,0.0002573065,0.0001387982,0.0004443782,0.0001314835,0.0002404346,0.002580379],"category_scores_gemma":[0.004332839,0.000191523,0.00008187942,0.0001597911,0.0004690442,0.0005513269,0.000398492,0.0003805136,0.0002207337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001457251,"about_ca_system_score_gemma":0.0002143302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008537308,"about_ca_topic_score_gemma":0.001270867,"domain_scores_codex":[0.9996924,0.0001107017,0.00001678616,0.00008274203,0.00006512408,0.00003223369],"domain_scores_gemma":[0.9985337,0.0008801311,0.0002889402,0.00008997122,0.00008859857,0.0001187056],"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":[0.001507623,0.0005070931,0.09387361,0.0003090737,0.00006353464,0.0004631252,0.005283286,0.0003129824,0.8570029,0.0009824674,0.0002423939,0.0394519],"study_design_scores_gemma":[0.00003975964,0.0006162715,0.9750423,0.0000181985,0.00002351109,0.0003325075,0.001218558,0.001197827,0.01986924,0.001060369,0.0005631203,0.00001820878],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976452,0.00004983572,0.0009556571,0.00003518245,0.000002722086,0.00001261378,0.00001884669,0.0000103554,0.001269577],"genre_scores_gemma":[0.9974816,0.00003714558,0.001879297,0.00003970614,0.000003195537,0.0000265236,0.00003292973,0.00001288966,0.0004866717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002580379,"threshold_uncertainty_score":0.008632183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2145060642843775,"score_gpt":0.3687404279127931,"score_spread":0.1542343636284156,"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."}}