{"id":"W3145807057","doi":"10.1109/hri.2010.5453263","title":"Robots, children, and helping: Do children help a robot in need?","year":2010,"lang":"en","type":"article","venue":"","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Robot; Task (project management); Set (abstract data type); Artificial intelligence; Psychology; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001174124,0.0002554398,0.000261271,0.0004804254,0.0007465325,0.0009771995,0.0002422927,0.0005795457,0.001783868],"category_scores_gemma":[0.004840379,0.0001888086,0.0002037574,0.0003845004,0.001795485,0.001106189,0.0006367056,0.000553938,0.0001829572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008795215,"about_ca_system_score_gemma":0.000893126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0109495,"about_ca_topic_score_gemma":0.02795539,"domain_scores_codex":[0.9992238,0.0003250456,0.00002841347,0.00009959585,0.0001668445,0.0001561257],"domain_scores_gemma":[0.9974655,0.001121983,0.0008929367,0.00007722368,0.0001753794,0.0002669503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003402561,0.0003859926,0.8037589,0.0006153468,0.00006554108,0.0005067742,0.1311002,0.0001409355,0.003512893,0.002187506,0.001617012,0.05576875],"study_design_scores_gemma":[0.00002270563,0.0003834734,0.8661317,0.0001954189,0.00007068465,0.0006841135,0.1202843,0.000154151,0.0009674422,0.0007820948,0.01028706,0.00003680831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944172,0.001430297,0.0002084788,0.0004375406,0.000007527081,0.00001317632,0.0000339841,0.000005127822,0.003446838],"genre_scores_gemma":[0.9970373,0.001464428,0.0005088598,0.000110558,0.000005781108,0.00003314817,0.00003424806,0.000003347901,0.0008023519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0109495,"threshold_uncertainty_score":0.02177149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009530607871545431,"score_gpt":0.256403450718817,"score_spread":0.2468728428472716,"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."}}