{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004689902,0.0004566965,0.0004568692,0.0002569797,0.0003161193,0.0007123201,0.003294405,0.0004466823,0.00004662714],"category_scores_gemma":[0.002051571,0.0004704921,0.0002679428,0.0005748071,0.0002741778,0.0006303725,0.003950781,0.001136288,0.0000664754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003473097,"about_ca_system_score_gemma":0.0006239326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002238064,"about_ca_topic_score_gemma":0.0001688922,"domain_scores_codex":[0.994268,0.002887098,0.000483603,0.001133598,0.0007329616,0.0004947666],"domain_scores_gemma":[0.9912372,0.0006477631,0.0005291734,0.003065649,0.004174594,0.0003456067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002675945,0.0008904177,0.0009448545,0.0002503827,0.000174578,0.00005406512,0.01065835,0.0001788911,0.002463849,0.7117158,0.06488959,0.2077525],"study_design_scores_gemma":[0.001388287,0.000003131014,0.002211574,0.00313013,0.00008607072,0.0001362242,0.0001619041,0.1942415,0.1858105,0.4082179,0.20218,0.002432715],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007696049,0.003504461,0.9562479,0.01149973,0.0004352833,0.0004466455,0.00002659121,0.0009439226,0.02612584],"genre_scores_gemma":[0.1366118,0.0007485886,0.8504637,0.0004571995,0.00007134194,0.0001063081,0.0003575099,0.00006192639,0.01112162],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3034979,"threshold_uncertainty_score":0.9997747,"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."}}