{"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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001311741,0.0001908866,0.0004323231,0.0003168858,0.0004169224,0.0002294913,0.0008414297,0.00009946046,0.0001171819],"category_scores_gemma":[0.00008649824,0.0001883301,0.0001081702,0.0002902949,0.001074869,0.00009187614,0.001737319,0.002329833,0.000006177283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001038618,"about_ca_system_score_gemma":0.001312657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007477656,"about_ca_topic_score_gemma":0.0008873097,"domain_scores_codex":[0.9969831,0.0009633403,0.0002223659,0.0005825204,0.0006498209,0.0005989179],"domain_scores_gemma":[0.9981655,0.0006104845,0.0001493541,0.0004775954,0.0004309733,0.000166046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009505679,0.00121125,0.2928614,0.004816036,0.002015503,0.0003801901,0.2328414,0.002080905,0.002830362,0.347904,0.004120423,0.1079881],"study_design_scores_gemma":[0.00846531,0.00153306,0.1931202,0.008148512,0.0003276748,0.00001400667,0.4523302,0.1913678,0.0005160235,0.1037417,0.03778057,0.002655005],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9238595,0.002576214,0.02685435,0.001138566,0.0001100422,0.002138615,0.0004391417,0.0000300251,0.04285353],"genre_scores_gemma":[0.9985784,0.00007886728,0.0002725496,0.000001770427,0.0001779789,0.00000774547,0.000284498,0.00001565924,0.0005824955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2441623,"threshold_uncertainty_score":0.9999718,"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."}}