{"id":"W38490551","doi":"10.3168/jds.2024-24353","title":"Document Image Retrieval Based on Cross-Ratio and Hashing","year":2008,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Robustness (evolution); Geometric transformation; Transformation geometry; Artificial intelligence; Computer science; Transformation (genetics); Embedding; Hash function; Pattern recognition (psychology); Sequence (biology); Image retrieval; Image (mathematics); Computer vision; Mathematics; Algorithm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001516215,0.0001164826,0.0001657008,0.0003044129,0.0004810652,0.0004484823,0.001089342,0.00003034359,0.00000639459],"category_scores_gemma":[0.0006765723,0.0000891903,0.00006109828,0.0008411462,0.0006501315,0.004784517,0.0001731805,0.0002686119,0.000004255687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032757,"about_ca_system_score_gemma":0.0004120472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001639689,"about_ca_topic_score_gemma":1.07662e-7,"domain_scores_codex":[0.9980456,0.00003612636,0.0003751834,0.0002730679,0.001001442,0.0002685802],"domain_scores_gemma":[0.998584,0.0001377431,0.0003305947,0.0003468291,0.0004028725,0.00019793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008518806,0.0007261862,0.028812,0.00009136627,0.00003209487,0.003792378,0.004759853,0.001617013,0.8318277,0.01609427,0.004193397,0.1072019],"study_design_scores_gemma":[0.001056193,0.001825659,0.03568957,0.0001403858,0.000005163357,0.001007124,0.00002262792,0.02295438,0.9293706,0.004909003,0.002684504,0.0003347898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.105441,0.0001560865,0.892708,0.0007010459,0.0002509294,0.0000717793,7.399884e-7,0.00004518932,0.0006252708],"genre_scores_gemma":[0.779228,0.00006485367,0.2200153,0.0005516351,0.00005661264,2.88519e-7,5.641139e-8,0.000003874188,0.00007943591],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.673787,"threshold_uncertainty_score":0.4324725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081862479722746,"score_gpt":0.3183358027302672,"score_spread":0.2975171779330398,"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."}}