{"id":"W2767234684","doi":"","title":"Modeling Embodied Cognition in a Complex Real-Time Task","year":2000,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Air Force Office of Scientific Research","keywords":"Cognition; Embodied cognition; Perception; Computer science; Task (project management); Cognitive model; Cognitive psychology; Artificial intelligence; Cognitive science; Psychology; Human–computer interaction; Engineering","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002699285,0.0003013695,0.0003006541,0.0002309921,0.0001825476,0.00180083,0.000894401,0.0001486013,0.0006704792],"category_scores_gemma":[0.00005097003,0.0003062893,0.0001142115,0.0006459234,0.0000397515,0.005496029,0.0001857703,0.0004371683,0.005337942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003238684,"about_ca_system_score_gemma":0.0001024304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001702067,"about_ca_topic_score_gemma":0.000001166055,"domain_scores_codex":[0.9977522,0.0001323899,0.000521418,0.0006271289,0.0003573275,0.0006095248],"domain_scores_gemma":[0.9990194,0.0001467352,0.00006901068,0.0004824406,0.00002632323,0.0002561015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001625692,0.002954417,0.1083188,0.0006240817,0.0003424863,0.002115033,0.002332982,0.1049246,0.005793834,0.04214703,0.03319794,0.6956232],"study_design_scores_gemma":[0.001120984,0.000123419,0.0008760271,0.000298317,0.00001004788,0.00003732567,0.00001087236,0.9143831,0.0001722965,0.05778983,0.02433136,0.0008464453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5960069,0.0001943316,0.02068951,0.001591565,0.00008235619,0.0005823669,0.001260768,0.002358094,0.3772342],"genre_scores_gemma":[0.9821137,0.00002288482,0.015006,0.0007962841,0.00007394786,0.00001949534,0.001082527,0.00004691517,0.0008382668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8094585,"threshold_uncertainty_score":0.9999389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02034967667233906,"score_gpt":0.2187107101945398,"score_spread":0.1983610335222007,"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."}}