{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005992824,0.0001225037,0.0001543253,0.0001193637,0.0003942718,0.00006921932,0.0005806449,0.00003172247,0.000116238],"category_scores_gemma":[0.000008038331,0.0001294298,0.00008403952,0.0004352661,0.000008595088,0.0002691559,0.000308809,0.0003401735,0.000006357729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003925799,"about_ca_system_score_gemma":0.0001955663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001251033,"about_ca_topic_score_gemma":0.00001150898,"domain_scores_codex":[0.9986404,0.000182715,0.00021723,0.0003439399,0.000254649,0.0003610284],"domain_scores_gemma":[0.9993946,0.00002853169,0.0001189345,0.0003648643,0.00003909153,0.00005396576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002622225,0.0002413193,0.00008377508,0.00001270009,0.00005835959,0.000004526483,0.001866041,0.0004546647,0.001333814,0.8294917,0.05156075,0.1148661],"study_design_scores_gemma":[0.0003654282,0.0001912588,0.000004775269,0.000001531995,0.000003771521,0.00003078515,0.00003424777,0.3990487,0.0009661545,0.009406566,0.5897914,0.0001553948],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003226738,0.0007605948,0.9873076,0.003455934,0.0002901733,0.0002640713,0.000008543839,0.0005456753,0.004140641],"genre_scores_gemma":[0.9273899,0.0003182068,0.06365795,0.00233108,0.00009203918,0.0006191372,0.0001296964,0.00004432392,0.005417715],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9241631,"threshold_uncertainty_score":0.5277994,"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."}}