{"id":"W4404240423","doi":"10.21203/rs.3.rs-5349770/v1","title":"Convolutional Autoencoder Recommendation System","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Autoencoder; Computer science; Convolutional neural network; Convolutional code; Recommender system; Artificial intelligence; Natural language processing; Information retrieval; Deep learning; Algorithm; Decoding methods","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":[0.0007584192,0.0005835004,0.0009657306,0.0008230155,0.0004333183,0.0007634222,0.001020314,0.001260426,0.005696619],"category_scores_gemma":[0.002407977,0.0004033798,0.0005382849,0.0008688106,0.0002265119,0.000987004,0.0004634818,0.001156573,0.004394433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000624193,"about_ca_system_score_gemma":0.001077538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02061729,"about_ca_topic_score_gemma":0.03215651,"domain_scores_codex":[0.9995108,0.00008211265,0.000030666,0.0001572428,0.0001622096,0.00005713023],"domain_scores_gemma":[0.9990645,0.0002652373,0.00003350777,0.0002487785,0.0003550445,0.00003301906],"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":[0.0003353341,0.0003135284,0.003286038,0.0001871437,0.0002592882,0.0001330842,0.0000541996,0.08568831,0.01639966,0.008471923,0.02868726,0.8561841],"study_design_scores_gemma":[0.00002404682,0.00004695504,0.0009002565,0.00001823846,0.00006059125,0.00007731926,0.000006560095,0.9873153,0.005143169,0.002414863,0.003975169,0.00001752568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04307957,0.002426917,0.9362316,0.0009471405,0.0005269093,0.0001532391,0.001761885,0.005973136,0.008899577],"genre_scores_gemma":[0.5022515,0.002485214,0.4348192,0.0008122308,0.00050854,0.0002013644,0.004228671,0.0002513109,0.05444197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02061729,"threshold_uncertainty_score":0.04099452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040894078472104,"score_gpt":0.413330199678567,"score_spread":0.3092407918313566,"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."}}