{"id":"W6948033462","doi":"10.48448/qtzj-ed53","title":"Extracting Person Names from User Generated Text: Named-Entity Recognition for Combating Human Trafficking","year":2022,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; McGill University","funders":"","keywords":"Domain (mathematical analysis); Human trafficking; Keyword extraction; The Internet; Key (lock); Domain knowledge","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":[0.0008449326,0.0008136817,0.0002905894,0.002123908,0.0004830192,0.00106767,0.0006464423,0.001113634,0.006168919],"category_scores_gemma":[0.003313906,0.000157772,0.0004903825,0.001182338,0.000351536,0.002451714,0.0008550166,0.000558452,0.008686623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002222966,"about_ca_system_score_gemma":0.0004397276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001887104,"about_ca_topic_score_gemma":0.003150705,"domain_scores_codex":[0.9994056,0.0001783103,0.00005394175,0.000199696,0.0001268882,0.00003550003],"domain_scores_gemma":[0.9987416,0.000590139,0.000130676,0.0002337452,0.0002466686,0.00005710837],"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":[0.0003337974,0.0003458656,0.007275028,0.0006767805,0.0001139847,0.0009851457,0.0004014515,0.005438177,0.02769732,0.002526454,0.0818974,0.8723086],"study_design_scores_gemma":[0.00008412146,0.0003908415,0.0404773,0.0004099864,0.0002904559,0.003506997,0.002205641,0.5644978,0.1372454,0.01613495,0.2345165,0.0002399821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2538098,0.006709417,0.5993367,0.005100323,0.002174198,0.0008815228,0.02908206,0.05348314,0.0494227],"genre_scores_gemma":[0.493075,0.002461207,0.4166473,0.001006255,0.0005738635,0.0002268393,0.04937488,0.00115305,0.03548148],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006168919,"threshold_uncertainty_score":0.02063715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07787218548081365,"score_gpt":0.327766534767591,"score_spread":0.2498943492867773,"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."}}