{"id":"W1630576121","doi":"10.1007/978-3-642-23765-2_7","title":"Emotive Expression through the Movement of Interactive Robotic Vehicles","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Emotive; Computer science; Movement (music); Expression (computer science); Human–computer interaction; Artificial intelligence; Computer vision; Computer graphics (images); Programming language; Art; Aesthetics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002149517,0.0002742646,0.0003484366,0.0001729492,0.0001418453,0.00005002714,0.0008378545,0.0002161372,0.001688055],"category_scores_gemma":[0.00004466259,0.0001895659,0.0001384641,0.0001321459,0.0007391983,0.000179392,0.0003432113,0.0007779362,0.0001032913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002296997,"about_ca_system_score_gemma":0.0001328962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00140874,"about_ca_topic_score_gemma":0.0007000534,"domain_scores_codex":[0.9983075,0.00006105042,0.0003719733,0.0005954005,0.0003824586,0.0002816293],"domain_scores_gemma":[0.9982011,0.0005847354,0.000406589,0.0005657011,0.0001992878,0.00004257842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004160999,0.0004619011,0.0006645875,0.00005076111,0.0002759946,0.00008344721,0.367958,0.01361907,0.001575528,0.09796084,0.001654997,0.5152788],"study_design_scores_gemma":[0.001195195,0.001085168,0.009901324,0.002387941,0.00009756536,0.00004736953,0.0001557434,0.002022592,0.02156623,0.9501422,0.01005088,0.001347773],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005084187,0.0002132987,0.8780997,0.0003810518,0.00519318,0.0004212773,0.000003607303,0.00003259243,0.1151468],"genre_scores_gemma":[0.9736248,0.0000228704,0.01243598,0.003754234,0.0006015354,0.00002351482,0.000004224463,0.00004787595,0.009484994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9731163,"threshold_uncertainty_score":0.9992245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04713361212071951,"score_gpt":0.3319342077469674,"score_spread":0.2848005956262478,"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."}}