{"id":"W2103088500","doi":"10.1177/10597123030112004","title":"Better Vision through Manipulation","year":2003,"lang":"en","type":"article","venue":"Adaptive Behavior","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":215,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Defense Advanced Research Projects Agency","keywords":"Computer science; Artificial intelligence; Human–computer interaction; Cognitive science; Object (grammar); Modularity (biology); Robot; Enthusiasm; Computer vision; Psychology","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":[0.001025244,0.0006422052,0.0004646418,0.0007170126,0.0008147676,0.003362401,0.0008722836,0.002039153,0.01816547],"category_scores_gemma":[0.003266226,0.0003167469,0.0006414512,0.0003673655,0.007050436,0.01137993,0.002956243,0.002674397,0.00294454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481333,"about_ca_system_score_gemma":0.0008169051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001388869,"about_ca_topic_score_gemma":0.0009618271,"domain_scores_codex":[0.999189,0.0001992278,0.00003495808,0.0003039649,0.0001933307,0.00007963386],"domain_scores_gemma":[0.9990238,0.000302789,0.0001152794,0.0003552265,0.0001063626,0.00009661155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005265382,0.0000283957,0.0003123621,0.0001923383,0.00002456805,0.0000822011,0.000577752,0.002219185,0.008708749,0.9222381,0.006179823,0.05938399],"study_design_scores_gemma":[0.00003070284,0.00008555906,0.001053706,0.00008241477,0.00002389343,0.0002983296,0.0001827186,0.005030562,0.004098654,0.8759065,0.1131657,0.00004128773],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05405524,0.02039425,0.5316129,0.03109439,0.001412131,0.00008615722,0.0003305457,0.002807913,0.3582064],"genre_scores_gemma":[0.7409611,0.01030475,0.1881807,0.005443392,0.001074146,0.0001534698,0.0003900189,0.0007424552,0.05274992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01816547,"threshold_uncertainty_score":0.06076956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09378433608619749,"score_gpt":0.3651868717956813,"score_spread":0.2714025357094838,"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."}}