{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001930264,0.002073382,0.0009893483,0.006203267,0.000703207,0.004276765,0.001680819,0.001185318,0.02167698],"category_scores_gemma":[0.008264509,0.0006933491,0.001308276,0.00378062,0.0005435883,0.003057596,0.003954342,0.001934457,0.004625705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000636347,"about_ca_system_score_gemma":0.001036277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003954919,"about_ca_topic_score_gemma":0.007436745,"domain_scores_codex":[0.9991463,0.0002305771,0.0000815687,0.0001855188,0.0002831345,0.00007280278],"domain_scores_gemma":[0.9946286,0.00353803,0.000336455,0.0007599817,0.0004518234,0.0002850532],"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":[0.0023185,0.0004967904,0.01479395,0.003033078,0.0007210487,0.001100744,0.003086688,0.0150391,0.02322851,0.01936775,0.3637975,0.5530164],"study_design_scores_gemma":[0.00063399,0.0006147,0.01921946,0.001130233,0.000318889,0.001816366,0.002721664,0.4348934,0.04290811,0.08734248,0.4080733,0.0003273825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03903843,0.002490507,0.5742741,0.002728255,0.0005439516,0.0004357447,0.06147524,0.307192,0.01182174],"genre_scores_gemma":[0.1480015,0.001956481,0.7869462,0.000655482,0.0001746431,0.0008140691,0.04423711,0.0097201,0.00749434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02167698,"threshold_uncertainty_score":0.07251674,"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."}}