{"id":"W4407311311","doi":"10.1111/coin.70024","title":"Personalized Recommendation Method Based on Rating Matrix and Review Text","year":2025,"lang":"en","type":"article","venue":"Computational Intelligence","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Natural language processing; Information retrieval; Artificial intelligence; Speech recognition","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":[0.000788731,0.001154542,0.001604191,0.002343067,0.0004622018,0.0006996825,0.001399721,0.001094262,0.002910625],"category_scores_gemma":[0.003072742,0.0004453778,0.001245025,0.001837958,0.0002003376,0.001454862,0.0004677579,0.0008268042,0.002145164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004307632,"about_ca_system_score_gemma":0.0008226422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01012754,"about_ca_topic_score_gemma":0.01462019,"domain_scores_codex":[0.9988639,0.0001656857,0.00008532954,0.0004055157,0.0003854756,0.00009408062],"domain_scores_gemma":[0.9987125,0.0003295941,0.0001273987,0.0001699291,0.0005782433,0.00008231998],"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":[0.0005408765,0.0003103243,0.007779968,0.0004315827,0.0002857056,0.0003824962,0.000215644,0.04253538,0.03053405,0.002717294,0.01855042,0.8957163],"study_design_scores_gemma":[0.00004836689,0.000141859,0.002628597,0.00002555125,0.0001181291,0.0003595836,0.00004314017,0.9849135,0.007050575,0.001370335,0.003256258,0.00004402528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07668915,0.002684848,0.9107632,0.0005366591,0.0003101685,0.0002742626,0.001115305,0.004283987,0.003342332],"genre_scores_gemma":[0.5489102,0.001253455,0.4309012,0.0003276775,0.0005225984,0.0002821431,0.003352545,0.0001688099,0.01428122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01012754,"threshold_uncertainty_score":0.02013719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03820724382141988,"score_gpt":0.3921508232515611,"score_spread":0.3539435794301413,"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."}}