{"id":"W2567471568","doi":"10.1109/crv.2016.61","title":"What is a Good Model for Depth from Defocus?","year":2016,"lang":"en","type":"article","venue":"","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Geology; Computer vision","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":[0.00001904202,0.00005883119,0.00005147254,0.00001373777,0.00002591877,0.00005062135,0.00008861488,0.00003655071,0.00004127947],"category_scores_gemma":[0.000002022,0.0000391785,0.00002880686,0.0000269191,0.000007730795,0.0002502683,0.00001227134,0.00001767626,0.00003121069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001586975,"about_ca_system_score_gemma":0.000005679532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000390289,"about_ca_topic_score_gemma":0.00001013212,"domain_scores_codex":[0.9997024,6.288376e-7,0.00006968775,0.00009229506,0.00003199658,0.0001030221],"domain_scores_gemma":[0.9997772,0.00002021055,0.000007209232,0.0001492168,0.00002082063,0.00002531572],"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":[0.000005939904,0.00004381927,0.0001495074,0.00005073701,0.00004426717,3.431075e-7,0.0004600694,0.0006391163,0.1021991,0.01400552,0.0874629,0.7949387],"study_design_scores_gemma":[0.0001505784,0.000004238662,0.00001136591,0.000038475,0.000008418609,4.102673e-7,0.0000123704,0.7297732,0.1903324,0.07025345,0.00929438,0.0001206812],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002562419,0.0002232023,0.9931739,0.0008358579,0.00002587414,0.0001061356,0.00002145831,0.000619233,0.002431951],"genre_scores_gemma":[0.7101498,0.0001854426,0.2864231,0.0002200315,0.00003646942,0.0001945404,0.000003329103,0.00002497195,0.002762247],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.794818,"threshold_uncertainty_score":0.1597653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146186893101558,"score_gpt":0.2609066873202741,"score_spread":0.2394448183892585,"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."}}