{"id":"W4367358669","doi":"10.2139/ssrn.4431495","title":"Depth Perspective-Aware Multiple Object Tracking","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Perspective (graphical); Object (grammar); Tracking (education); Computer vision; Computer science; Artificial intelligence; Business; Psychology","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001690987,0.0004288506,0.0004373129,0.0004493552,0.0004785754,0.0006350631,0.002264397,0.000187125,0.000007046404],"category_scores_gemma":[0.0003535989,0.0004036119,0.0004094795,0.0004299889,0.00004947492,0.0006783965,0.001318687,0.007805814,0.0001336173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002968425,"about_ca_system_score_gemma":0.004394552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000160297,"about_ca_topic_score_gemma":0.00102061,"domain_scores_codex":[0.9946421,0.0001782474,0.0004783965,0.0009049281,0.0006374745,0.003158903],"domain_scores_gemma":[0.9980819,0.0001602539,0.000439451,0.0007791523,0.0003647385,0.0001745202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005578782,0.0002375872,0.003869927,0.00007264705,0.0007538526,0.0002591412,0.004278921,0.01028479,0.0005401782,0.3000042,0.0007750695,0.6788679],"study_design_scores_gemma":[0.0007208747,0.0001354933,0.001514722,0.0002533958,0.00002729676,0.0007412215,0.003764563,0.1415349,0.0001934295,0.8495807,0.0008283317,0.0007050863],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001466781,0.003886867,0.9889981,0.002494049,0.001765903,0.0002220532,0.000003230028,0.0005541443,0.0006088934],"genre_scores_gemma":[0.9773963,0.006113743,0.01338481,0.0002098775,0.0007803572,0.00001678374,0.000005797975,0.00009519481,0.001997132],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9759295,"threshold_uncertainty_score":0.9998416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03304675969124844,"score_gpt":0.320049791117602,"score_spread":0.2870030314263536,"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."}}