{"id":"W4401071624","doi":"10.1109/romoco60539.2024.10604404","title":"DMODE: Differential Monocular Object Distance Estimation Module Without Class Specific Information","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Monocular; Object (grammar); Differential (mechanical device); Class (philosophy); Artificial intelligence; Computer vision; Engineering","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":[0.00007862574,0.00012159,0.0001009471,0.0001239987,0.00009620446,0.0007407132,0.000304715,0.00002931726,0.00004719579],"category_scores_gemma":[0.00001193798,0.00009928825,0.00005259805,0.0003092674,0.00002294725,0.003945454,0.000110045,0.0001189863,0.0003638608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006672397,"about_ca_system_score_gemma":0.00002651786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000361793,"about_ca_topic_score_gemma":7.997917e-7,"domain_scores_codex":[0.9990676,0.00001879326,0.0002228227,0.0002346282,0.0002735177,0.000182628],"domain_scores_gemma":[0.9994893,0.00002226402,0.00003706009,0.0003478506,0.00004449136,0.00005901036],"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":[0.000004462512,0.00001397478,0.00003849384,0.00003313355,0.000006901819,0.000003299658,0.000418757,0.003151336,0.0007129056,0.1927215,0.001677919,0.8012173],"study_design_scores_gemma":[0.0001235977,0.00001310585,0.0003461749,0.00004100193,0.000001882526,0.000006108882,0.00001362127,0.9555752,0.001937036,0.007578383,0.03422952,0.0001344078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001244201,0.0001555645,0.9910779,0.0005652696,0.0006779682,0.0001270569,0.000001866779,0.0005695436,0.005580617],"genre_scores_gemma":[0.7691969,0.00002804432,0.2301368,0.0001257589,0.00003984473,0.000009220107,0.00001241679,0.000006163408,0.0004448102],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9524238,"threshold_uncertainty_score":0.7142715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009807431390415485,"score_gpt":0.2595596377936636,"score_spread":0.2497522064032482,"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."}}