{"id":"W2791941169","doi":"10.5441/002/edbt.2018.52","title":"Point-of-Interest Recommendation Using Heterogeneous Link Prediction","year":2018,"lang":"en","type":"article","venue":"Movebank","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Link (geometry); Point (geometry); Point of interest; Data mining; Artificial intelligence; Computer network; Mathematics","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":[0.0007394549,0.001464272,0.002194858,0.004242208,0.000738195,0.00133812,0.003075552,0.002826915,0.004647498],"category_scores_gemma":[0.004971365,0.0007151019,0.001284791,0.004829797,0.0003525218,0.003457021,0.001159973,0.002249484,0.003968725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006564855,"about_ca_system_score_gemma":0.0007934607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02104494,"about_ca_topic_score_gemma":0.04999513,"domain_scores_codex":[0.9989727,0.0001721097,0.00005485456,0.0004471609,0.0002543132,0.00009880782],"domain_scores_gemma":[0.9981499,0.0008706743,0.0001116042,0.0004262284,0.0003448229,0.0000968254],"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":[0.001568366,0.00161562,0.01576749,0.0005417827,0.0008935516,0.0006524818,0.000162231,0.1559994,0.0108416,0.007290501,0.08674848,0.7179185],"study_design_scores_gemma":[0.00003073023,0.00006088195,0.0009553819,0.00001768467,0.00009312553,0.00007988614,0.00001913713,0.9911813,0.001481974,0.004170243,0.001888718,0.00002097753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1205409,0.006773153,0.8423315,0.001739805,0.0008536794,0.0002912655,0.008424462,0.01017019,0.008875072],"genre_scores_gemma":[0.7113925,0.001749921,0.2542421,0.00063783,0.0006134413,0.0002011516,0.01370974,0.0004451705,0.01700824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02104494,"threshold_uncertainty_score":0.0418449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0692021735810043,"score_gpt":0.2914990192153362,"score_spread":0.2222968456343319,"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."}}