{"id":"W4281392049","doi":"10.3390/electronics11101660","title":"A Serendipity-Oriented Personalized Trip Recommendation Model","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centennial College","funders":"King Saud University","keywords":"Serendipity; Point of interest; Computer science; Recommender system; Similarity (geometry); Sequence (biology); Information retrieval; Plan (archaeology); World Wide Web; Data science; Artificial intelligence; Geography","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":[0.0009274199,0.001019483,0.001596912,0.001790626,0.0007164099,0.001016322,0.003750197,0.002182379,0.00466109],"category_scores_gemma":[0.001965556,0.0005889382,0.001289853,0.002929629,0.0004884886,0.00185755,0.0008396875,0.001814377,0.002227457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142145,"about_ca_system_score_gemma":0.001402108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03831558,"about_ca_topic_score_gemma":0.03925718,"domain_scores_codex":[0.9991894,0.0001256419,0.00006322081,0.0003410779,0.0001681339,0.0001124078],"domain_scores_gemma":[0.9991954,0.0003073693,0.00006592402,0.00008715675,0.0002829133,0.00006131045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000510195,0.0005337803,0.009606282,0.0002875477,0.0002871806,0.0004962765,0.0002465617,0.6436389,0.003529942,0.01230718,0.02256453,0.3059916],"study_design_scores_gemma":[0.00001886799,0.00004576546,0.0003549203,0.00000818058,0.00002745955,0.00007120237,0.00001497881,0.9960089,0.0002155529,0.002174853,0.001048238,0.00001114891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08828394,0.002255749,0.8876045,0.002133131,0.0003425373,0.0004552396,0.004888591,0.003349284,0.01068699],"genre_scores_gemma":[0.6749091,0.001396844,0.2969851,0.0009163936,0.0003221423,0.0006326548,0.005511763,0.000158282,0.01916771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03831558,"threshold_uncertainty_score":0.07618517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01940390914828604,"score_gpt":0.2581654031544689,"score_spread":0.2387614940061829,"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."}}