{"id":"W2073612273","doi":"10.1117/12.2076304","title":"Depth-map and albedo estimation with superior information-theoretic performance","year":2015,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Estimation; Albedo (alchemy); Artificial intelligence; Remote sensing; Geology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00045348,0.0002876473,0.0002959703,0.0001191168,0.00006588622,0.0002155228,0.0004199402,0.0001445417,0.000003897265],"category_scores_gemma":[0.0002386537,0.0002292761,0.0001438789,0.0003074247,0.0002467285,0.001347308,0.00006259423,0.0002650269,0.000003096835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032014,"about_ca_system_score_gemma":0.00003306831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000639873,"about_ca_topic_score_gemma":1.428957e-7,"domain_scores_codex":[0.9984748,1.041581e-8,0.000495258,0.0001883809,0.0005231409,0.0003183475],"domain_scores_gemma":[0.9984109,0.00008028325,0.0001539763,0.00004914166,0.001145708,0.0001600208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001706922,0.0004649203,0.02067797,0.02384535,0.003173972,7.953016e-7,0.01305817,0.04189357,0.2795664,0.5268905,0.0157088,0.07301264],"study_design_scores_gemma":[0.001936164,0.0006125376,0.00118599,0.0007172076,0.0002173577,0.00007148285,0.002568489,0.845416,0.1385939,0.001065751,0.006944787,0.0006703526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995615,0.0002619241,0.0004967256,0.0003967106,0.0001695358,0.0003394086,0.00001737051,0.000178584,0.002524716],"genre_scores_gemma":[0.8343814,0.0001291824,0.1650969,0.00005796606,0.0001244827,0.0001067856,0.00001483096,0.00005082626,0.00003758663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8035224,"threshold_uncertainty_score":0.9349609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00839318613697638,"score_gpt":0.2084348859498071,"score_spread":0.2000416998128307,"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."}}