{"id":"W4285043581","doi":"10.22215/etd/2022-15097","title":"A Group Recommendation Method for POIs in LBSN","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Recommender system; Profiling (computer programming); Computer science; Information retrieval; Point of interest; World Wide Web; Data science; Data mining; Artificial intelligence","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":[0.001145922,0.000192442,0.0003122318,0.0004017668,0.00009859954,0.0001372909,0.0006919577,0.0001564173,0.0002819208],"category_scores_gemma":[0.0000242937,0.0001887571,0.0001311879,0.0003582408,0.000001375027,0.0003045934,0.00008754829,0.000226989,0.000003099399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001593589,"about_ca_system_score_gemma":0.00005563283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001405074,"about_ca_topic_score_gemma":0.002708772,"domain_scores_codex":[0.9984732,0.0001797766,0.0004434803,0.000535655,0.0001535704,0.0002143194],"domain_scores_gemma":[0.999118,0.0001976244,0.0002364833,0.0003657249,0.00004736265,0.00003475272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001721948,0.00009038902,0.0000273931,0.0001575606,0.00002414162,0.000001874916,0.001296954,6.69196e-7,0.0001560136,0.2052837,0.03627158,0.7566724],"study_design_scores_gemma":[0.0007149608,0.0004102258,0.0005167246,0.00009191919,0.00001473826,0.00001119926,0.00125072,0.02786148,0.002397557,0.06545719,0.9004881,0.0007852321],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00005639805,0.00006412789,0.963329,0.0008232329,0.001520269,0.0009319758,0.00001000953,0.0002891815,0.03297578],"genre_scores_gemma":[0.003048631,0.00005568304,0.9759716,0.0005996488,0.0000946746,0.002967816,0.002227945,0.0000460838,0.01498791],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8642164,"threshold_uncertainty_score":0.7697289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02437742499596363,"score_gpt":0.3575487852155945,"score_spread":0.3331713602196308,"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."}}