{"id":"W1508012366","doi":"10.1007/11414353_17","title":"Visual Capabilities in an Interactive Autonomous Robot","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Robot; Human–computer interaction; Variety (cybernetics); Mobile robot; Embodied cognition; Gesture; Social robot; Context (archaeology); Artificial intelligence; Robot control","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007119633,0.0005648549,0.0005527443,0.00122979,0.0002072783,0.0006492742,0.003381707,0.0003065452,0.0000226948],"category_scores_gemma":[0.0000954246,0.0005651048,0.0001038316,0.000656103,0.0006793162,0.001039651,0.001155372,0.00142741,0.00006118572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007955766,"about_ca_system_score_gemma":0.0005837839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001365514,"about_ca_topic_score_gemma":0.001112356,"domain_scores_codex":[0.995945,0.00008741338,0.0006414677,0.001936979,0.00069877,0.0006904135],"domain_scores_gemma":[0.9972053,0.0006579116,0.0003064031,0.001457976,0.0002119288,0.0001604355],"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":[0.000006200644,0.0001348563,0.001511521,0.00002403654,0.000004898778,0.00004935278,0.002095341,0.5029235,0.0002152963,0.01332489,0.000005869331,0.4797042],"study_design_scores_gemma":[0.0002151183,0.0001983486,0.01006773,0.0001431004,0.000003052569,0.00003064053,4.168335e-7,0.9266145,0.0003059847,0.06155525,0.0002439691,0.0006218484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004667702,0.00008713475,0.9897487,0.0007087399,0.0006548096,0.0005092055,0.000004545611,0.0002934315,0.003325691],"genre_scores_gemma":[0.7730001,0.00000217739,0.2259568,0.0004872207,0.0002680362,0.00003585181,0.0000127708,0.00003586153,0.0002011757],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7683324,"threshold_uncertainty_score":0.99968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197998548925628,"score_gpt":0.2865738720312135,"score_spread":0.2745938865419573,"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."}}