{"id":"W1523283424","doi":"10.1186/1475-925x-4-1","title":"Evolutionary autonomous agents and the nature of apraxia","year":2005,"lang":"en","type":"article","venue":"BioMedical Engineering OnLine","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto East General Hospital","funders":"","keywords":"Apraxia; Neuroscience; Psychology; Computer science; Cognitive science; Communication; Biology; Cognitive psychology; Aphasia","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005262029,0.0001825925,0.0001733705,0.0004932577,0.0004611579,0.0008241507,0.0003380613,0.0005240214,0.001143],"category_scores_gemma":[0.002488272,0.0001204291,0.0001827678,0.0003353922,0.003024571,0.001007746,0.0007080852,0.000691024,0.00004878376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007126131,"about_ca_system_score_gemma":0.0003938127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008421679,"about_ca_topic_score_gemma":0.0007253989,"domain_scores_codex":[0.999803,0.00009096383,0.00001230334,0.00003724208,0.00003761197,0.00001886029],"domain_scores_gemma":[0.9987991,0.0007035025,0.0002494268,0.0001094036,0.0000709696,0.0000676117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001469633,0.00009069771,0.03617428,0.0002242822,0.0001120435,0.002973789,0.005056472,0.1776126,0.01987165,0.700135,0.0007400525,0.05686218],"study_design_scores_gemma":[0.00002984756,0.0001390101,0.02417738,0.00004126253,0.0000274929,0.002312226,0.0009213362,0.1421605,0.002326704,0.8210513,0.006782718,0.00003022319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8504803,0.00101217,0.1236963,0.001580876,0.00003636468,0.0000476705,0.00004260619,0.00009001177,0.02301366],"genre_scores_gemma":[0.9892476,0.0001823001,0.009740444,0.00004040119,0.00000932054,0.00002926891,0.00001131564,0.000005406614,0.0007339509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001143,"threshold_uncertainty_score":0.005170405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161375595570874,"score_gpt":0.28177288419659,"score_spread":0.2701591282408812,"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."}}