{"id":"W2940678350","doi":"10.1145/3290605.3300599","title":"Geppetto","year":2019,"lang":"en","type":"article","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Computer science; Robot; Human–computer interaction; Motion (physics); Context (archaeology); Entertainment; Social robot; Artificial intelligence; Semantics (computer science); Mobile robot; Robot control; Programming language","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":[0.0004575488,0.001081077,0.0004826279,0.001227952,0.001353048,0.002379874,0.00101799,0.001213181,0.3721538],"category_scores_gemma":[0.001194063,0.0003875265,0.0005250038,0.0007403479,0.0006119165,0.002552096,0.003322218,0.001370257,0.1798458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006176297,"about_ca_system_score_gemma":0.0006927678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002076704,"about_ca_topic_score_gemma":0.003329796,"domain_scores_codex":[0.9996345,0.0000429376,0.00001147807,0.0001265221,0.0001296743,0.00005494338],"domain_scores_gemma":[0.9995375,0.00009639334,0.00002051969,0.00009993981,0.00009822041,0.0001475054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005970856,0.0001079097,0.0009466631,0.0004097137,0.00002028447,0.0004942297,0.0005417716,0.0007223955,0.009690206,0.02911576,0.5991247,0.3582293],"study_design_scores_gemma":[0.000028588,0.00003810805,0.0006410704,0.00006567854,0.000008812171,0.0002597671,0.00007124364,0.001114746,0.001555924,0.004795483,0.9914017,0.00001883506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006488819,0.00210537,0.06196266,0.003146587,0.00191738,0.000356519,0.005277936,0.03552347,0.8832212],"genre_scores_gemma":[0.04034139,0.00184189,0.03432855,0.001579162,0.0005171728,0.0003661037,0.007258684,0.008703816,0.9050632],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3721538,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373982973588381,"score_gpt":0.3876078607069902,"score_spread":0.3638680309711064,"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."}}