{"id":"W7031696000","doi":"","title":"9639406902","year":2008,"lang":"hu","type":"other","venue":"University of Debrecen Electronic Archive (University of Debrecen)","topic":"Currency Recognition and Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relation (database); Identification (biology); Work (physics); Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00110954,0.001629021,0.001717429,0.001627881,0.002672124,0.007053021,0.001967596,0.00483915,0.9784889],"category_scores_gemma":[0.004190116,0.0006547035,0.0009558171,0.002332747,0.0009866303,0.003471626,0.003396825,0.001920284,0.9764339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152938,"about_ca_system_score_gemma":0.001471375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003237022,"about_ca_topic_score_gemma":0.003072379,"domain_scores_codex":[0.99888,0.0001880497,0.00008200372,0.0004103629,0.0002531328,0.0001864513],"domain_scores_gemma":[0.997292,0.0007629155,0.0001535347,0.0003286269,0.0006882409,0.0007746984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002911937,0.0001543888,0.0004262978,0.0006468967,0.00001783077,0.0002651523,0.000159161,0.00009290209,0.001264219,0.003391464,0.6677833,0.3255073],"study_design_scores_gemma":[0.00004678781,0.00005002805,0.0006468221,0.0002819272,0.00001361781,0.0002227996,0.0001646502,0.0001037983,0.0001856369,0.0006527052,0.9976186,0.00001260187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005822968,0.001064503,0.0007317882,0.001262091,0.0007620752,0.0001759648,0.003111091,0.001862079,0.9904482],"genre_scores_gemma":[0.001909289,0.0005134959,0.0003740211,0.0008117037,0.00009774078,0.00009063602,0.001689314,0.0004319335,0.9940818],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9784889,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008632250309460472,"score_gpt":0.1662071613426455,"score_spread":0.1575749110331851,"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."}}