{"id":"W2132636741","doi":"10.1109/crv.2013.15","title":"3D Disaster Scene Reconstruction Using a Canine-Mounted RGB-D Sensor","year":2013,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer vision; RGB color model; Artificial intelligence; Computer science; Key (lock); Search and rescue; 3d model; 3D reconstruction; Iterative reconstruction; Computer graphics (images); Computer security","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":[0.0002842539,0.0006536806,0.0005300284,0.0006048004,0.0002558363,0.0006714129,0.0005958215,0.0005791683,0.00218302],"category_scores_gemma":[0.0005698487,0.000492237,0.0005689008,0.0006171745,0.0003731434,0.0006088095,0.0008421587,0.00045216,0.0007760907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002548266,"about_ca_system_score_gemma":0.0006381107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004968434,"about_ca_topic_score_gemma":0.008710606,"domain_scores_codex":[0.9997249,0.00004019981,0.000007792813,0.00005467913,0.0001429016,0.000029594],"domain_scores_gemma":[0.9998176,0.00002802502,0.00001947272,0.00006103845,0.00005230578,0.00002165113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009768077,0.0004420515,0.0164364,0.00030479,0.0002020631,0.001253144,0.0009266618,0.4932171,0.249417,0.00183324,0.006161438,0.2288294],"study_design_scores_gemma":[0.00005594895,0.0003781436,0.01799489,0.0000249709,0.00003941301,0.0005887446,0.0003749256,0.9207111,0.05340173,0.0007394748,0.00558539,0.0001052241],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4066788,0.0001475507,0.5824894,0.0002647471,0.00008195284,0.0001482355,0.001114496,0.004306396,0.004768599],"genre_scores_gemma":[0.7911285,0.0001183157,0.206052,0.00005126062,0.000009080054,0.00003785929,0.0009719845,0.0001430645,0.001488038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004968434,"threshold_uncertainty_score":0.009879053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154118460138763,"score_gpt":0.2093680330838441,"score_spread":0.1978268484824564,"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."}}