{"id":"W3036597989","doi":"","title":"Australian Banknotes: Assisting People with Vision Impairment | Bulletin – March Quarter 2015","year":2015,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Currency Recognition and Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Optometry; Medicine; History","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":[0.00182208,0.0006885618,0.0004295543,0.0008610376,0.002398752,0.002372464,0.0008557037,0.002438481,0.08231872],"category_scores_gemma":[0.003554464,0.0003608569,0.000254006,0.000509842,0.0005342936,0.001939613,0.0022849,0.001744032,0.0269249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009011298,"about_ca_system_score_gemma":0.003320955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03609253,"about_ca_topic_score_gemma":0.1120315,"domain_scores_codex":[0.9993367,0.0000990979,0.00003875042,0.00004767019,0.0003058331,0.0001720433],"domain_scores_gemma":[0.9981923,0.0001461436,0.00006724726,0.00004025483,0.0007520079,0.0008020381],"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":[0.00004624983,0.0001066523,0.001521902,0.00007407347,0.000002702563,0.0001388622,0.0003865214,0.00001822291,0.0001827,0.00008666775,0.9241173,0.07331812],"study_design_scores_gemma":[0.00002929874,0.0001632785,0.01643949,0.0001707694,0.00001258989,0.0002855808,0.002390733,0.000195182,0.000272072,0.0001667415,0.9798575,0.00001679526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08484253,0.01998928,0.004158075,0.2522865,0.06200205,0.002485545,0.004717214,0.004880191,0.5646386],"genre_scores_gemma":[0.08347563,0.009631685,0.003575775,0.01339433,0.00567258,0.0003065486,0.002130753,0.0002306913,0.881582],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08231872,"threshold_uncertainty_score":0.2753836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02742236683563255,"score_gpt":0.2718720829746368,"score_spread":0.2444497161390043,"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."}}