{"id":"W4406262080","doi":"10.1109/qce60285.2024.10416","title":"piQture: A QML Library for Image Processing","year":2024,"lang":"en","type":"article","venue":"","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Image processing; Image (mathematics); Computer graphics (images); Artificial intelligence; Computer vision; Arithmetic; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000079837,0.00006317479,0.00005327622,0.00006093794,0.00005727736,0.0008278158,0.0003673371,0.00003195576,0.0000377196],"category_scores_gemma":[0.00001018472,0.00004572421,0.00004926328,0.0003687474,0.00002070589,0.001567078,0.00007676438,0.00005449985,0.00004680175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007583919,"about_ca_system_score_gemma":0.00009275901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.877725e-7,"about_ca_topic_score_gemma":3.547272e-8,"domain_scores_codex":[0.9994599,0.000007266417,0.00009860114,0.0002294631,0.0000853693,0.0001194064],"domain_scores_gemma":[0.9997219,0.0000367119,0.00001363711,0.0001658796,0.00002819446,0.00003367977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001564822,0.00001473583,0.000001899005,0.000137098,0.000003241152,0.00000615311,0.0001191726,1.20943e-8,0.008936926,0.2918324,0.04702862,0.6519182],"study_design_scores_gemma":[0.00005038834,0.00004307738,0.00002802773,0.00005435323,0.00000359802,0.00001711254,0.00001202217,0.203829,0.3277192,0.06262301,0.4054688,0.0001514454],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000007550869,0.0007735033,0.9716441,0.007561944,0.00009275365,0.000143165,0.000002158238,0.002516217,0.01725859],"genre_scores_gemma":[0.1150078,0.00004410104,0.8590529,0.001261313,0.0001761128,0.0001015746,0.000007616176,0.00002270053,0.02432591],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6517667,"threshold_uncertainty_score":0.7982647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0160400959190227,"score_gpt":0.2750151691091527,"score_spread":0.25897507319013,"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."}}