{"id":"W7061087669","doi":"","title":"Preregistration: The interplay between linguistic and embodied systems in conceptual processing","year":2021,"lang":"en","type":"preprint","venue":"Duo Research Archive (University of Oslo)","topic":"Gyrotron and Vacuum Electronics Research","field":"Physics and Astronomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003295796,0.0006369107,0.0008457163,0.0008559732,0.0008781265,0.005067195,0.00136819,0.00098259,0.008757541],"category_scores_gemma":[0.02102849,0.0006275949,0.0008273775,0.001092724,0.002100332,0.01192998,0.003251592,0.002667785,0.001298327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008343314,"about_ca_system_score_gemma":0.001237326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001199458,"about_ca_topic_score_gemma":0.0009135168,"domain_scores_codex":[0.9976391,0.000572263,0.0001494808,0.0007119975,0.0007136283,0.0002135555],"domain_scores_gemma":[0.9872096,0.006235846,0.001536213,0.003511146,0.001195248,0.0003119914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003477609,0.0008918293,0.04938399,0.001232786,0.0001858914,0.0007331018,0.02595117,0.007080793,0.3141731,0.1913158,0.001953129,0.4036208],"study_design_scores_gemma":[0.0001910456,0.002263463,0.4622268,0.0002545095,0.0002685763,0.001595084,0.01233813,0.03484676,0.1881762,0.2680772,0.02934129,0.0004210362],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.8771877,0.0007339223,0.09063661,0.0006994642,0.0001557047,0.0002822965,0.0003304891,0.0005056355,0.02946814],"genre_scores_gemma":[0.9710565,0.0001794293,0.02390329,0.0001208441,0.00004819949,0.000169937,0.000242844,0.0003156194,0.003963385],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.008757541,"threshold_uncertainty_score":0.02929688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05226134266508672,"score_gpt":0.337261625057153,"score_spread":0.2850002823920662,"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."}}