{"id":"W2165668746","doi":"10.1109/icsmc.1995.538133","title":"Automatic processing of information on cheques","year":2002,"lang":"en","type":"article","venue":"","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cheque; Computer science; Process (computing); Function (biology); Artificial intelligence; Computer security; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007660697,0.00003703061,0.00004915309,0.00007059683,0.00002687597,0.00005939766,0.0002187467,0.00001959639,0.00007786516],"category_scores_gemma":[0.00002555034,0.00002766424,0.00001613638,0.0002226412,0.00001498568,0.0009147654,0.00002216966,0.00002768553,0.00008487099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001169595,"about_ca_system_score_gemma":0.0000070777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001672197,"about_ca_topic_score_gemma":3.751054e-8,"domain_scores_codex":[0.9995977,0.000008503514,0.000147617,0.00004835663,0.0001414227,0.00005634343],"domain_scores_gemma":[0.9996758,0.0000123313,0.00007895452,0.0001496294,0.00006784013,0.00001546693],"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":[1.860972e-7,0.00002180286,0.00001107038,0.00002820753,7.418216e-7,6.628126e-8,0.0003343651,2.056556e-7,0.0004588896,0.0485785,0.000506331,0.9500597],"study_design_scores_gemma":[0.00006967402,0.00007985727,0.0008227142,0.00003840918,0.000001057243,0.000002220167,0.00002143083,0.719433,0.2739765,0.002454018,0.0030245,0.00007656655],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001199259,0.00002130767,0.941736,0.0007603049,0.00001639669,0.00006589131,1.68777e-7,0.0004234154,0.05577719],"genre_scores_gemma":[0.936401,0.000008613799,0.06303265,0.0002666152,0.000004185321,0.000004787787,3.598303e-7,0.000001047669,0.0002807415],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9499831,"threshold_uncertainty_score":0.1128115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221372805706446,"score_gpt":0.2404195775709246,"score_spread":0.21828229700028,"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."}}