{"id":"W2612382424","doi":"10.1109/wacv.2017.87","title":"Deep Object Ranking for Template Matching","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Ranking (information retrieval); Artificial intelligence; Template matching; Matching (statistics); Object (grammar); Object detection; Pattern recognition (psychology); Computer vision; Image (mathematics); Mathematics","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":[0.0001016047,0.00006768906,0.00007542608,0.00001963806,0.000878747,0.0002761472,0.001126433,0.00002057874,0.000004316042],"category_scores_gemma":[0.0000236723,0.00005935015,0.00004142673,0.00003772066,0.0000204188,0.0006069043,0.0002494106,0.00004986907,0.00003171422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001179289,"about_ca_system_score_gemma":0.000008479969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001051183,"about_ca_topic_score_gemma":0.00003245739,"domain_scores_codex":[0.9993871,0.000005647237,0.0000996679,0.0002425658,0.00007360028,0.0001913989],"domain_scores_gemma":[0.9988711,0.0001188141,0.00009516468,0.0008474029,0.00002857691,0.00003892343],"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":[0.000005414383,0.00001800199,0.0002393769,0.00001080537,0.00001208527,0.000003148193,0.0002769242,0.004866296,0.005069982,0.7542492,0.0008037412,0.234445],"study_design_scores_gemma":[0.0005500896,0.00002943014,0.003302141,0.00001718202,0.000005250847,0.00001940123,0.00001163948,0.5172198,0.005941221,0.45653,0.01606706,0.0003067695],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002235131,0.0000169063,0.990173,0.001474184,0.0001586062,0.0002274468,2.94627e-7,0.0001804463,0.005533971],"genre_scores_gemma":[0.569216,0.000003690626,0.4299932,0.0002398435,0.00006734465,0.00005332477,4.691273e-7,0.000005591197,0.0004206087],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5669808,"threshold_uncertainty_score":0.6758701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03430910238187781,"score_gpt":0.3156836645765956,"score_spread":0.2813745621947178,"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."}}