{"id":"W2053516710","doi":"10.3758/bf03193504","title":"A role for action knowledge in visual object identification","year":2007,"lang":"en","type":"article","venue":"Memory & Cognition","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Psychology; Object (grammar); Action (physics); Similarity (geometry); Identification (biology); Cognitive psychology; Visual Objects; Space (punctuation); Communication; Visual perception; Artificial intelligence; Cognitive science; Perception; Computer science; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000869401,0.0001038927,0.0001058595,0.0003196811,0.0001212555,0.00002964187,0.0000516856,0.0001532248,0.0006697176],"category_scores_gemma":[0.00009333237,0.0001223826,0.00005339244,0.0004129486,0.00002600772,0.0002812798,0.000007190651,0.0001065637,0.0005797917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001516122,"about_ca_system_score_gemma":0.00002953642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002810051,"about_ca_topic_score_gemma":0.0005103342,"domain_scores_codex":[0.9989186,0.00009055401,0.0003896963,0.000280072,0.0001115082,0.0002095616],"domain_scores_gemma":[0.9993125,0.0001321662,0.0001594815,0.00011967,0.0002332608,0.00004293678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009325976,0.001459674,0.004126645,0.00008995227,0.00005701172,0.000003491962,0.006592112,0.00003611022,0.2165143,0.00254649,0.004094813,0.7635468],"study_design_scores_gemma":[0.003887596,0.0002271552,0.9071036,0.00004764658,0.0000705557,0.00001720842,0.01274758,0.004417594,0.05415703,0.002444232,0.01446994,0.0004098813],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8477111,0.00007040628,0.1270774,0.0001064204,0.001374639,0.0007238035,0.000008108958,0.0001518543,0.02277622],"genre_scores_gemma":[0.994745,0.000005187509,0.0001188219,0.0001709931,0.000404976,0.0001731957,0.0004656771,0.0000227763,0.003893389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9029769,"threshold_uncertainty_score":0.7452243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06610644676306385,"score_gpt":0.4033064133301393,"score_spread":0.3371999665670755,"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."}}