{"id":"W2188437042","doi":"10.29173/irie137","title":"Fundamental Issues in Social Robotics","year":2006,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Robotics; Field (mathematics); Frame (networking); Perspective (graphical); Computer science; Robot; Cognitive science; Psychology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001005762,0.00007026747,0.0001327959,0.0000815856,0.00007402521,0.00002789613,0.0002808709,0.00008816194,0.001665417],"category_scores_gemma":[0.0003150738,0.00005460927,0.00008841598,0.0001433042,0.00007591781,0.0003033277,0.00003783334,0.0004058191,0.0005165431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008783826,"about_ca_system_score_gemma":0.00004722805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004907451,"about_ca_topic_score_gemma":0.00005903657,"domain_scores_codex":[0.9987304,0.0001034971,0.0005984266,0.00004718535,0.0004320919,0.00008840788],"domain_scores_gemma":[0.9990237,0.0002623356,0.0003395054,0.00009140931,0.0002732907,0.00000975536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002144976,0.0000537829,0.0005710972,0.0002531411,0.0000262881,4.061956e-7,0.00316807,0.00007277494,0.000006965159,0.9084634,0.08224556,0.005117045],"study_design_scores_gemma":[0.0005563858,0.00002797699,0.02973312,0.001389303,0.00002195959,0.00001610142,0.002734278,0.0001807676,0.00005087847,0.0150905,0.9500368,0.0001619752],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003529903,0.006203888,0.00249839,0.3128432,0.004538949,0.0006308196,0.00006288647,0.00007050977,0.6696214],"genre_scores_gemma":[0.9288202,0.01031385,0.0008849711,0.05102919,0.001269191,0.00009265969,0.0004707386,0.00001935664,0.007099863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9252903,"threshold_uncertainty_score":0.9992472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07269929492053553,"score_gpt":0.453705839158733,"score_spread":0.3810065442381975,"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."}}