{"id":"W6992216015","doi":"","title":"Kinect based 3D scene reconstruction","year":2017,"lang":"en","type":"other","venue":"Digital Library (University of West Bohemia)","topic":"Aortic Disease and Treatment Approaches","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"RANSAC; Obstacle; Point cloud; Segmentation; Image segmentation; Point (geometry); Minimum bounding box; Object (grammar); 3D reconstruction","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":[0.0002938874,0.001026147,0.001073141,0.001733457,0.000404123,0.001190822,0.001033901,0.0008973219,0.01601645],"category_scores_gemma":[0.0006421844,0.00060066,0.0008247025,0.001032467,0.0002645048,0.001083176,0.001748206,0.0007805114,0.008786934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003486388,"about_ca_system_score_gemma":0.00100282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003519801,"about_ca_topic_score_gemma":0.005057481,"domain_scores_codex":[0.9992197,0.0000623282,0.00004454498,0.0001722014,0.0004476205,0.00005362553],"domain_scores_gemma":[0.9997752,0.00002990827,0.00002532129,0.00004783688,0.00009624357,0.00002550745],"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":[0.0007543658,0.0002580967,0.003593291,0.001295082,0.0001447566,0.0009281805,0.0005381849,0.0213421,0.2210745,0.007956536,0.0379381,0.7041768],"study_design_scores_gemma":[0.0001455582,0.0003618355,0.02405474,0.0004722078,0.0001474768,0.003540742,0.0004753685,0.4454949,0.2429238,0.006864133,0.2750637,0.0004555249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01917128,0.001478134,0.9260147,0.0002639067,0.0004197784,0.0004381621,0.008091757,0.0197056,0.0244166],"genre_scores_gemma":[0.2157876,0.002640208,0.7313512,0.0005787336,0.0001062163,0.0006198061,0.01362083,0.001690596,0.03360474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01601645,"threshold_uncertainty_score":0.0535804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334400540873762,"score_gpt":0.187515132564444,"score_spread":0.1741711271557064,"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."}}