{"id":"W2248937416","doi":"10.1109/icdm.2015.45","title":"Spatio-Temporal Topic Models for Check-in Data","year":2015,"lang":"en","type":"article","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Perplexity; Computer science; Topic model; Data modeling; Data mining; Temporal database; Data science; Information retrieval; Artificial intelligence; Language model; Database","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":[0.004416824,0.001266,0.001302566,0.003330957,0.0008697634,0.001580808,0.002752728,0.001979967,0.002668609],"category_scores_gemma":[0.01221944,0.0007300948,0.002366862,0.004123126,0.0007433713,0.003691923,0.001200616,0.002159525,0.001684602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626703,"about_ca_system_score_gemma":0.0009961928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02461852,"about_ca_topic_score_gemma":0.02838423,"domain_scores_codex":[0.998596,0.0005481132,0.000141253,0.0004159797,0.0001692123,0.0001294625],"domain_scores_gemma":[0.9914005,0.006152825,0.0008062492,0.0007746889,0.000671875,0.0001938108],"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":[0.0009490456,0.0004116025,0.07345188,0.0006394107,0.0005476756,0.0006086805,0.00184247,0.7008447,0.00343141,0.07643774,0.02028837,0.120547],"study_design_scores_gemma":[0.00001915193,0.00002157531,0.002365958,0.00001841591,0.0000343678,0.00008020169,0.00008571347,0.9832116,0.0002026314,0.01193892,0.002006908,0.00001469233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1798717,0.003265602,0.7904375,0.003252066,0.000379256,0.0004042963,0.01636656,0.002401196,0.003621869],"genre_scores_gemma":[0.8629861,0.002198389,0.1120717,0.000319326,0.0005756626,0.0007620144,0.01595232,0.0001944735,0.004939923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02461852,"threshold_uncertainty_score":0.04895043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2641758398872042,"score_gpt":0.4000563585830228,"score_spread":0.1358805186958186,"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."}}