{"id":"W4310191069","doi":"10.20944/preprints202211.0534.v1","title":"GPRE: Multi-Path Guided Recommender System Based on Graph Neural Networks","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Recommender system; Computer science; Collaborative filtering; Graph; Information retrieval; Cold start (automotive); Knowledge graph; Revenue; Machine learning; Artificial intelligence; Theoretical computer science","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","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00282566,0.0009386028,0.001085085,0.0005633559,0.0004774412,0.0002648734,0.005213995,0.0005974033,0.0003057299],"category_scores_gemma":[0.00008284068,0.0009435616,0.0007633857,0.0005934347,0.00005683628,0.0002534964,0.008185621,0.002573311,0.0001114537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007501035,"about_ca_system_score_gemma":0.0001865465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008416536,"about_ca_topic_score_gemma":0.00001376361,"domain_scores_codex":[0.9925554,0.001450899,0.001410551,0.002749235,0.0009107561,0.0009231674],"domain_scores_gemma":[0.9923367,0.000252806,0.001026312,0.005847916,0.0001949146,0.0003413583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001643695,0.002469525,0.5269637,0.002641164,0.0009519962,0.0008049506,0.002150869,0.3900642,0.0002144054,0.02975859,0.02904099,0.01477516],"study_design_scores_gemma":[0.0007606035,0.00008761802,0.02061668,0.0004689633,0.00003831987,0.00004374257,0.00006334423,0.9655524,0.0005622235,0.0004220588,0.01020798,0.001176008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01443982,0.0002566324,0.9475368,0.002263095,0.01010215,0.003252112,0.0000461681,0.004902061,0.01720113],"genre_scores_gemma":[0.9815903,0.0000382971,0.01450903,0.001216809,0.0002833569,0.00173576,0.00008032073,0.0001123028,0.0004338776],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9671504,"threshold_uncertainty_score":0.999836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1697420265226111,"score_gpt":0.349887269625409,"score_spread":0.1801452431027979,"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."}}