{"id":"W2744113486","doi":"","title":"Deep Convolutional Feature Point Descriptors","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Feature (linguistics); Artificial intelligence; Convolutional neural network; Point (geometry); Pattern recognition (psychology); Mathematics; Linguistics","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":[0.0002869052,0.000948948,0.0009082998,0.0009965327,0.0002993916,0.001120521,0.0009459178,0.001037225,0.01735943],"category_scores_gemma":[0.0009266385,0.0003086195,0.0004982962,0.001799768,0.0003505627,0.001402205,0.0009489381,0.001080549,0.009894246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007933903,"about_ca_system_score_gemma":0.0008960313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00798702,"about_ca_topic_score_gemma":0.009997171,"domain_scores_codex":[0.9997728,0.00001276993,0.00000914715,0.00007839152,0.00008153653,0.00004525606],"domain_scores_gemma":[0.9997084,0.00004065054,0.00002235977,0.00009124383,0.0001081542,0.00002916837],"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":[0.0002056865,0.0001508263,0.0009377961,0.0001623733,0.00004012859,0.00009969635,0.00001992319,0.02666859,0.03518138,0.0157319,0.04041703,0.8803847],"study_design_scores_gemma":[0.0000407886,0.0001675162,0.002516866,0.0000707019,0.00005358769,0.0002771824,0.00003998724,0.8555731,0.05762687,0.0249067,0.05868988,0.00003683235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04522836,0.003206317,0.9205618,0.001014351,0.0008324409,0.0002155212,0.005487015,0.007222179,0.0162321],"genre_scores_gemma":[0.5711513,0.004215756,0.2777145,0.0008093086,0.0004795761,0.000249457,0.02056689,0.0005085896,0.1243047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01735943,"threshold_uncertainty_score":0.0580731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01929546277187998,"score_gpt":0.2499961059310432,"score_spread":0.2307006431591632,"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."}}