{"id":"W4414465542","doi":"10.1037/xhp0001373","title":"Contributions of action representations to tool naming.","year":2025,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Human Perception & Performance","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Action (physics); Object (grammar); Task (project management); Orientation (vector space); Dimension (graph theory); Feature (linguistics); Laterality; Sequence (biology); Semantics (computer science)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002899231,0.000716277,0.0005481158,0.0008301724,0.0003190244,0.002172507,0.0009410484,0.001114018,0.005378455],"category_scores_gemma":[0.03636609,0.0005686084,0.000690895,0.0005272379,0.001204297,0.003393186,0.001685146,0.001134031,0.0006088199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004992587,"about_ca_system_score_gemma":0.0004188184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009234463,"about_ca_topic_score_gemma":0.0006463983,"domain_scores_codex":[0.9977175,0.0006305449,0.0001941727,0.0007482545,0.0005534964,0.0001559561],"domain_scores_gemma":[0.9592398,0.02408721,0.007380237,0.006879842,0.001444743,0.0009680769],"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":[0.003267741,0.0003976649,0.04327421,0.001754424,0.0004335358,0.001207328,0.0030238,0.006727669,0.5820989,0.01582014,0.0009884384,0.3410062],"study_design_scores_gemma":[0.0004899329,0.004161962,0.5497501,0.0003273769,0.00113069,0.009308006,0.001295119,0.09689455,0.2128,0.1072905,0.01607312,0.0004785884],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9296331,0.001547944,0.05673281,0.0003215441,0.0001282721,0.00007882344,0.0005075122,0.0004799996,0.01057011],"genre_scores_gemma":[0.9814087,0.0002905414,0.01657984,0.00007522776,0.00003505252,0.00005501707,0.0003749719,0.00009962466,0.001081022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005378455,"threshold_uncertainty_score":0.01799273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0290836165024124,"score_gpt":0.4334306724855527,"score_spread":0.4043470559831402,"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."}}