{"id":"W2144859398","doi":"10.1109/robot.1992.220136","title":"Sensory data integration: a team consensus approach","year":2003,"lang":"en","type":"article","venue":"","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Identification (biology); Computer science; Object (grammar); Artificial intelligence; Function (biology); Simple (philosophy); Sensor fusion; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0001351468,0.00007630543,0.00009055279,0.00001425953,0.00009198552,0.00004701775,0.0001487566,0.00002329704,0.0003253809],"category_scores_gemma":[0.00001115827,0.00006516271,0.00002768514,0.00007438,0.00004899831,0.0000561696,0.0000389354,0.00009382302,0.00005089911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006489482,"about_ca_system_score_gemma":0.00005947825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001478916,"about_ca_topic_score_gemma":0.000002812697,"domain_scores_codex":[0.9994457,0.00004128712,0.0001233848,0.000194905,0.00007400456,0.0001207069],"domain_scores_gemma":[0.9994518,0.00003057428,0.00003508806,0.000393981,0.0000410799,0.00004747631],"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":[0.000001120533,0.00007170531,0.00429535,0.000001616832,0.0000205401,1.67897e-7,0.0001174963,0.00003450998,0.00008176372,0.9853768,0.006311326,0.0036876],"study_design_scores_gemma":[0.002839227,0.000104667,0.002753319,0.00004140124,0.00009395767,0.00001545262,0.03411175,0.2770822,0.001866547,0.1201002,0.5589994,0.001991896],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0224549,0.00002209031,0.05596847,0.0001262169,0.000166439,0.0001330898,0.0000974947,0.00003516518,0.9209961],"genre_scores_gemma":[0.9819204,9.821526e-7,0.01257374,0.00009902252,0.00009564258,0.000004894168,0.0001208803,0.000006885423,0.005177512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9594656,"threshold_uncertainty_score":0.3562692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05351629500748943,"score_gpt":0.3051223215186647,"score_spread":0.2516060265111753,"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."}}