{"id":"W4402904139","doi":"10.1109/cvprw63382.2024.00005","title":"The Third Monocular Depth Estimation Challenge","year":2024,"lang":"en","type":"article","venue":"","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Engineering and Physical Sciences Research Council","keywords":"Monocular; Estimation; Computer science; Artificial intelligence; Computer vision; Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003982614,0.00440014,0.003220716,0.001360073,0.001329174,0.003002083,0.003466289,0.005002358,0.01737417],"category_scores_gemma":[0.01267217,0.0007267656,0.002732101,0.001440377,0.001058812,0.003205715,0.005659017,0.004450957,0.0142242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167607,"about_ca_system_score_gemma":0.00291135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01608641,"about_ca_topic_score_gemma":0.02505716,"domain_scores_codex":[0.9932725,0.001239183,0.0002366738,0.002231277,0.002304066,0.000716216],"domain_scores_gemma":[0.9940372,0.00144705,0.000133041,0.001817926,0.001755539,0.0008092662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001028266,0.0005129374,0.001400091,0.001426094,0.0004447289,0.0005937503,0.0001149934,0.01077525,0.01115388,0.002304794,0.6810827,0.2891626],"study_design_scores_gemma":[0.001291246,0.001792695,0.0181964,0.0009415413,0.000358411,0.006316232,0.0008852722,0.2011862,0.04489502,0.01927615,0.7044799,0.0003808465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1698091,0.04691619,0.3023498,0.0159742,0.03329406,0.003527969,0.1980142,0.1169727,0.1131417],"genre_scores_gemma":[0.2009994,0.003448753,0.2596402,0.0065866,0.002792916,0.001144234,0.4464163,0.007011667,0.07195991],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01737417,"threshold_uncertainty_score":0.05812246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423954823804031,"score_gpt":0.2648189465079417,"score_spread":0.2505793982699014,"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."}}