{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"16156e0a10a0","filters":{"venue":"Rapports de recherche internes"}},"results":[{"id":"W899286121","doi":"","title":"Binarization of Degraded Historical Document Images","year":2014,"lang":"en","type":"article","venue":"Rapports de recherche internes","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Thresholding; Historical document; Artificial intelligence; Computer science; Image (mathematics); Pattern recognition (psychology); Computer vision; Task (project management); Document image processing; Image segmentation; Engineering","authors":[{"name":"Zineb Hadjadj","is_ca":false},{"name":"Abdelkrim Meziane","is_ca":true},{"name":"Mohamed Cheriet","is_ca":true},{"name":"Yazid Cherfa","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09602289950378384,"gpt":0.3399753025780331,"spread":0.2439524030742493,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002334596,0.0001288238,0.000209512,0.0001765314,0.00002317413,0.00005687286,0.0005575211,0.0002056894,0.00003638343],"category_scores_gemma":[0.000463412,0.0001189956,0.00009969485,0.0002761936,0.00003268961,0.0002931338,0.0001297578,0.0002447128,0.00001499162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005065471,"about_ca_system_score_gemma":0.00009198092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001167488,"about_ca_topic_score_gemma":0.000003557081,"domain_scores_codex":[0.9983154,0.0006564541,0.0003491823,0.0002775392,0.0002032935,0.000198133],"domain_scores_gemma":[0.9989359,0.0002588556,0.0001875148,0.0003892868,0.0001419639,0.00008647276],"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":[0.00001306619,0.0002259941,0.004154318,0.0001082404,0.00003934834,0.00001720295,0.001908593,0.000003830276,0.03662433,0.01475414,0.008483951,0.933667],"study_design_scores_gemma":[0.0003572806,0.0004182195,0.001970851,0.0002432762,0.00002484054,0.0001085746,0.00003893023,0.005201533,0.7710711,0.1926737,0.02745378,0.0004379234],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01846325,0.0001211403,0.9772949,0.0008418569,0.0001598356,0.0001200525,3.420017e-7,0.000354648,0.002643948],"genre_scores_gemma":[0.7779902,0.0001063619,0.2200503,0.0001826375,0.00004712329,0.00003554911,0.000002424575,0.00001303478,0.001572477],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9332291,"threshold_uncertainty_score":0.4852498,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}