{"id":"W2400870671","doi":"10.1109/wacv.2016.7477620","title":"Constructing image mosaics using focus based depth analysis","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Parallax; Computer vision; Artificial intelligence; Computer science; Focus (optics); Interpolation (computer graphics); Image (mathematics); Computer graphics (images)","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":[0.0002483264,0.0004927515,0.0004497709,0.0008155991,0.000291307,0.0004195251,0.0004768033,0.0003542246,0.0015958],"category_scores_gemma":[0.000810731,0.0004012685,0.0006459348,0.000468535,0.000327304,0.0007503101,0.0008490211,0.000526894,0.0005092781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003052942,"about_ca_system_score_gemma":0.000446776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001564329,"about_ca_topic_score_gemma":0.002655995,"domain_scores_codex":[0.9998029,0.00002082608,0.000007845726,0.0000511056,0.00009697797,0.00002031617],"domain_scores_gemma":[0.9997684,0.00005762629,0.00003323539,0.0000493025,0.00006801747,0.00002327773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001539828,0.00008041893,0.001575161,0.0001669346,0.0001054043,0.0001787997,0.0003345533,0.1468199,0.3739142,0.009541257,0.001660343,0.4654691],"study_design_scores_gemma":[0.00002429475,0.0001116057,0.001824923,0.00001548753,0.00003117497,0.0003531952,0.000078843,0.9030849,0.08241306,0.006236954,0.005794448,0.00003115381],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0190734,0.00009360084,0.9794002,0.00003123343,0.00001053642,0.00003375053,0.00003845172,0.0003887413,0.0009300298],"genre_scores_gemma":[0.1361598,0.0001642868,0.8621978,0.00002913475,0.00001775564,0.00003833875,0.0001932155,0.000180237,0.00101958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0015958,"threshold_uncertainty_score":0.00533849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188981693621146,"score_gpt":0.2974446432820285,"score_spread":0.275554826345817,"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."}}