{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001499927,0.00100859,0.00141739,0.00114635,0.0005365369,0.002022371,0.002684017,0.003149335,0.003195302],"category_scores_gemma":[0.01075197,0.0006390812,0.0008879776,0.001227062,0.001570631,0.006685029,0.001352411,0.002387546,0.002160607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001343076,"about_ca_system_score_gemma":0.0009290676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008696499,"about_ca_topic_score_gemma":0.004908518,"domain_scores_codex":[0.9990477,0.0002321783,0.00003794782,0.000239998,0.0003090682,0.0001331231],"domain_scores_gemma":[0.9968154,0.001642641,0.0004038095,0.0003077161,0.0006760957,0.0001543893],"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":[0.0004472758,0.0001789186,0.006355798,0.001385688,0.0001865528,0.0003206796,0.0004669875,0.3336402,0.02596025,0.2528967,0.02291364,0.3552473],"study_design_scores_gemma":[0.00005255115,0.0001439096,0.002378984,0.0002675579,0.00005877131,0.0006224741,0.000149571,0.8319896,0.004417717,0.1399412,0.01982921,0.0001483071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009444683,0.005395519,0.975071,0.00484781,0.0002544499,0.00005004694,0.0004324027,0.0005828422,0.00392118],"genre_scores_gemma":[0.6131678,0.01956479,0.3485253,0.003087713,0.0009418925,0.0004218122,0.001080301,0.000827643,0.01238274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008696499,"threshold_uncertainty_score":0.01729178,"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."}}