{"id":"W6943788689","doi":"10.17605/osf.io/mzr9q","title":"The interplay between linguistic and embodied systems in conceptual processing","year":2021,"lang":"en","type":"other","venue":"Open Science Framework","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Embodied cognition; Vocabulary; Set (abstract data type); Deep linguistic processing; Semantics (computer science); Language understanding","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009434129,0.0001419961,0.0002530234,0.0001293023,0.0003158874,0.001005752,0.001025232,0.0002734644,0.001331469],"category_scores_gemma":[0.001105953,0.0001069081,0.00001308924,0.0008321111,0.0008047952,0.00007977414,0.0002876346,0.0004062142,0.00005543944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008348205,"about_ca_system_score_gemma":0.000295045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005476071,"about_ca_topic_score_gemma":0.0001489376,"domain_scores_codex":[0.9985262,0.000142652,0.0002828856,0.0005116716,0.0002711525,0.000265396],"domain_scores_gemma":[0.9988568,0.0002538956,0.000280252,0.0004318082,0.0001018449,0.00007538489],"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":[0.00003786212,0.0001298025,0.112859,0.0001690972,0.00009334352,0.00005147643,0.03330257,0.00002480685,0.00001151245,0.5418545,0.1246043,0.1868617],"study_design_scores_gemma":[0.0002058785,0.00002466629,0.008567813,0.001435181,0.0000102449,0.000004878744,0.005860249,0.0003136209,8.899152e-7,0.0006833202,0.9826544,0.0002388375],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003105014,0.004444974,0.008022129,0.0003287337,0.003317514,0.0007286944,0.000008647532,0.0000449014,0.9827939],"genre_scores_gemma":[0.44849,0.00008789611,0.001586051,0.0003934402,0.001016947,0.0001252125,0.00003029515,0.00013716,0.548133],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8580501,"threshold_uncertainty_score":0.9995815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05974287988383876,"score_gpt":0.417718206524296,"score_spread":0.3579753266404573,"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."}}