{"id":"W1981247887","doi":"10.1016/j.visres.2004.10.015","title":"Detection of the depth order of defocused images","year":2004,"lang":"en","type":"article","venue":"Vision Research","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monochromatic color; Optics; Accommodation; Chromatic scale; Chromatic aberration; Physics; Mathematics; Computer vision; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000171065,0.0004653439,0.0003465558,0.001447766,0.0001967572,0.0005751054,0.000306906,0.0004329236,0.001849039],"category_scores_gemma":[0.001033238,0.0003417105,0.0001447029,0.00048033,0.0002361306,0.0007200745,0.0004954739,0.0006577671,0.0005644856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003153762,"about_ca_system_score_gemma":0.0004898536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142986,"about_ca_topic_score_gemma":0.002482441,"domain_scores_codex":[0.999851,0.00001030045,0.000004919406,0.00002383685,0.00007945638,0.00003049954],"domain_scores_gemma":[0.999297,0.000164716,0.0001084577,0.00008253438,0.0002237242,0.0001235613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005766937,0.00005062021,0.004556684,0.0001291334,0.00001967077,0.000123402,0.0001267706,0.001847914,0.8502375,0.002949469,0.000789631,0.1385925],"study_design_scores_gemma":[0.00008298578,0.0005395726,0.06742088,0.00005620853,0.00007410101,0.002164085,0.0002417639,0.2138932,0.7019217,0.004082209,0.009439755,0.00008346486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.566918,0.001190877,0.4251253,0.0002630121,0.00009282828,0.00007812991,0.0005805728,0.0007757474,0.004975557],"genre_scores_gemma":[0.7831476,0.00134495,0.2102265,0.00008923283,0.0000566393,0.00002737435,0.0005772032,0.0001149044,0.004415583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001849039,"threshold_uncertainty_score":0.006185591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03073454504777009,"score_gpt":0.3606827390325056,"score_spread":0.3299481939847355,"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."}}