{"id":"W2316201608","doi":"10.7210/jrsj.26.612","title":"Representation of Drawing Behavior by a Robot","year":2008,"lang":"en","type":"article","venue":"Journal of the Robotics Society of Japan","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Silhouette; Painting; Robot; Computer vision; Artificial intelligence; Computer graphics (images); Computer science; Representation (politics); Action (physics); Human–computer interaction; Art; Visual arts","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001666827,0.00007920117,0.0002391918,0.00002819532,0.00007376954,0.000006875497,0.0001893202,0.00006462249,0.00001710904],"category_scores_gemma":[0.00003598957,0.00006425021,0.0003853836,0.0002012942,0.0000661247,0.0001273506,0.00002460868,0.0002259722,6.854548e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004733406,"about_ca_system_score_gemma":0.00002326746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009000127,"about_ca_topic_score_gemma":6.044642e-7,"domain_scores_codex":[0.9990401,0.000034048,0.0004797298,0.00004624305,0.0002983557,0.0001015359],"domain_scores_gemma":[0.9992733,0.0000564717,0.0003705525,0.0001419534,0.0001183748,0.00003932295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002633368,0.00003104674,0.02904161,0.00002920075,0.00006449554,2.331092e-7,0.001931134,0.9173924,0.04574259,0.00001146404,0.005534479,0.000218724],"study_design_scores_gemma":[0.002162302,0.0002154953,0.3402701,0.0004290802,0.0004657009,0.000332379,0.003673099,0.5789227,0.07245091,0.0001184104,0.0005078088,0.000451951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9136826,0.0004845387,0.08442001,0.0004647853,0.0005412321,0.0001148968,7.705103e-7,0.00002384781,0.0002672758],"genre_scores_gemma":[0.9862511,0.000147178,0.01329596,0.00002225623,0.00007029207,3.887119e-7,8.703551e-7,0.00001751647,0.0001944801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3384696,"threshold_uncertainty_score":0.2620048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0311094284806032,"score_gpt":0.2517466692259258,"score_spread":0.2206372407453226,"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."}}