{"id":"W4313016841","doi":"10.1007/978-3-031-20713-6_14","title":"Sensor Fusion Operators for Multimodal 2D Object Detection","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Concatenation (mathematics); Leverage (statistics); Pooling; Convolutional neural network; Sensor fusion; Artificial intelligence; Object detection; Fusion; Data mining; Pattern recognition (psychology); Computer vision","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004403554,0.0007989156,0.0005618238,0.0004278478,0.0002373402,0.000540541,0.0006253848,0.0006752159,0.004200522],"category_scores_gemma":[0.000817745,0.0002701467,0.0006696702,0.0006955671,0.0003580644,0.001017281,0.001125922,0.0007031357,0.001013656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002845488,"about_ca_system_score_gemma":0.0002792173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100439,"about_ca_topic_score_gemma":0.001517006,"domain_scores_codex":[0.9997509,0.00004228159,0.00001283291,0.00005032348,0.0001171687,0.00002645607],"domain_scores_gemma":[0.999806,0.00007933409,0.00001844354,0.00003427223,0.00005325568,0.000008696224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002396268,0.00008837778,0.0003271262,0.000181703,0.0000671771,0.00014029,0.0001346833,0.1110327,0.08443597,0.03080789,0.006419306,0.7661251],"study_design_scores_gemma":[0.000007520696,0.00007302748,0.0005171744,0.00001649143,0.00001938519,0.0001920339,0.00003880154,0.9530214,0.01986383,0.02136111,0.004869613,0.00001961643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00431943,0.0001941277,0.9939775,0.00004148848,0.0000327934,0.00001982411,0.00004903105,0.0002725783,0.001093194],"genre_scores_gemma":[0.2348612,0.0008047805,0.752818,0.0001568917,0.00009075072,0.000155803,0.0003861221,0.0002258558,0.01050051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004200522,"threshold_uncertainty_score":0.01405215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649318996735038,"score_gpt":0.2610685270858204,"score_spread":0.24457533711847,"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."}}