{"id":"W4301135710","doi":"10.1145/3487553.3524263","title":"VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking","year":2022,"lang":"en","type":"article","venue":"Companion Proceedings of the Web Conference 2022","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Visualization; Identification (biology); Cluster (spacecraft); Domain (mathematical analysis); Data science; Space (punctuation); Task (project management); Data visualization; Data mining; Human–computer interaction; Engineering","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":[0.002862996,0.0001208956,0.0002433114,0.0001663619,0.0008567023,0.0005228634,0.001197731,0.00002174106,0.0002522758],"category_scores_gemma":[0.0005114435,0.00009107315,0.0000899722,0.0004660648,0.00009884567,0.000618116,0.001536746,0.0001325344,0.000001683341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003863252,"about_ca_system_score_gemma":0.00003781171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001559772,"about_ca_topic_score_gemma":0.00001225061,"domain_scores_codex":[0.9977981,0.00005887257,0.0005486537,0.0004292725,0.0009777729,0.0001873537],"domain_scores_gemma":[0.9986634,0.0002346044,0.0006093126,0.0001971446,0.0002578787,0.00003764749],"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":[0.00003933375,0.0001953001,0.01257253,0.0001516564,0.0000393304,2.286003e-7,0.004285303,0.00007393361,0.03793327,0.8769448,0.0456013,0.02216297],"study_design_scores_gemma":[0.003947586,0.001036722,0.04944158,0.0003686182,0.0002210075,0.00002471843,0.1248525,0.2000657,0.01720179,0.2577912,0.3437179,0.001330717],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990825,0.00002984735,0.005135526,0.001284049,0.0003890537,0.0005581238,0.0001392406,0.00003776257,0.001601422],"genre_scores_gemma":[0.9979235,0.000005568985,0.0000431495,0.0002971709,0.00003955531,0.00007420551,0.00002007896,0.00001009134,0.001586663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6191537,"threshold_uncertainty_score":0.6589149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1212321738991849,"score_gpt":0.3699951522064527,"score_spread":0.2487629783072678,"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."}}