{"id":"W4367053540","doi":"10.21203/rs.3.rs-2844895/v1","title":"WITHDRAWN: Exploring the features of quanvolutional neural networks for improved image classification","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Artificial intelligence; Convolutional neural network; Contextual image classification; Artificial neural network; Image (mathematics); Pattern recognition (psychology); Network topology; Machine learning; Image processing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001003726,0.0005609329,0.0005594706,0.00076497,0.0007652303,0.001365556,0.001509948,0.001419445,0.08266184],"category_scores_gemma":[0.008162902,0.0001876677,0.0004610258,0.001173542,0.0005720017,0.001925684,0.0007754926,0.001728611,0.0108944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008120488,"about_ca_system_score_gemma":0.0008268802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00390089,"about_ca_topic_score_gemma":0.004191929,"domain_scores_codex":[0.9995037,0.00009855948,0.00002869186,0.00007510248,0.0002563095,0.00003756397],"domain_scores_gemma":[0.9977199,0.0008149386,0.00007741602,0.000257102,0.000870814,0.0002597206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001109463,0.0001182635,0.001240694,0.0006552603,0.00008907678,0.0003869681,0.0001345567,0.006662985,0.01505533,0.06911627,0.6980059,0.2074252],"study_design_scores_gemma":[0.0008705574,0.0005553783,0.006730509,0.0002718804,0.0001211476,0.0007595042,0.0001647006,0.1813298,0.04323016,0.2484038,0.5173621,0.0002004948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08045872,0.02033153,0.2891484,0.2082626,0.1368608,0.0009073435,0.02973062,0.01241798,0.221882],"genre_scores_gemma":[0.4420923,0.006491398,0.09429523,0.01353017,0.02255686,0.0005030989,0.01407876,0.00439284,0.4020594],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08266184,"threshold_uncertainty_score":0.2765314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1185377231992327,"score_gpt":0.369004207764395,"score_spread":0.2504664845651624,"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."}}