{"id":"W3166815584","doi":"","title":"Self-Supervised Structure-from-Motion through Tightly-Coupled Depth and Egomotion Networks.","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Inference; Generalization; Categorization; Consistency (knowledge bases); Motion (physics); Artificial intelligence; Pattern recognition (psychology); Mathematics","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":[0.001288329,0.001953395,0.001229593,0.0008652787,0.000489592,0.0009353141,0.002811565,0.002031834,0.001496286],"category_scores_gemma":[0.00404361,0.001112377,0.001094282,0.0007832462,0.001012893,0.002273605,0.002232962,0.002235019,0.0007154571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001130388,"about_ca_system_score_gemma":0.001160976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006897714,"about_ca_topic_score_gemma":0.01187957,"domain_scores_codex":[0.9993229,0.0001721601,0.00002397761,0.0002989596,0.0001118517,0.00007015627],"domain_scores_gemma":[0.9989592,0.000428818,0.0001818354,0.0002122083,0.0001468732,0.00007114227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001419854,0.0001621211,0.001946943,0.0001072047,0.0001596445,0.0000621464,0.0001547233,0.7495816,0.007702586,0.006983657,0.004529317,0.2284681],"study_design_scores_gemma":[0.000006002281,0.00002108168,0.0001422348,0.000006798045,0.00000635369,0.00001355604,0.000006760901,0.994059,0.000966133,0.004432959,0.0003351832,0.000003946029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02421418,0.0004760854,0.9715334,0.0002504252,0.00004468867,0.00007339297,0.0002001377,0.001851613,0.001356096],"genre_scores_gemma":[0.6155947,0.0003473989,0.3755953,0.0004782973,0.0001295462,0.000229636,0.001511833,0.0004944071,0.005618812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006897714,"threshold_uncertainty_score":0.01371515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03902765677164775,"score_gpt":0.1941408272213239,"score_spread":0.1551131704496761,"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."}}