{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004042411,0.0002896636,0.0003720364,0.0008690023,0.0002926067,0.001331571,0.001692585,0.0004485953,0.00006969857],"category_scores_gemma":[0.00006839972,0.0002581989,0.0002248359,0.0006650063,0.00006905787,0.0002039899,0.006711177,0.002303064,0.0007195729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186257,"about_ca_system_score_gemma":0.0008576455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005683614,"about_ca_topic_score_gemma":0.00002619788,"domain_scores_codex":[0.9955165,0.0009159807,0.0005412304,0.001152374,0.001208906,0.0006650022],"domain_scores_gemma":[0.9973843,0.0002869931,0.0001192634,0.001272359,0.000738273,0.000198851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004082332,0.00006823152,0.0001129518,0.004033421,0.0001000222,0.00007226217,0.0005353278,0.0000441833,0.00002638501,0.725403,0.2392062,0.03039396],"study_design_scores_gemma":[0.000198983,0.0001902588,0.0005194828,0.00515609,0.00001093932,0.0001038759,0.0003711539,0.5919939,0.0004079009,0.1365559,0.2637906,0.0007009573],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003252792,0.002552354,0.848812,0.02037036,0.005516435,0.002507893,0.0001919369,0.003920599,0.1158032],"genre_scores_gemma":[0.9564638,0.0001589543,0.037527,0.00007605841,0.0009002247,0.001495861,0.0002375885,0.00007320129,0.003067287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9561386,"threshold_uncertainty_score":0.9999987,"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."}}