{"id":"W2038273545","doi":"10.1371/journal.pmed.0040274","title":"Will Spam Overwhelm Our Defenses? Evaluating Offerings for Drugs and Natural Health Products","year":2007,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Business; Internet privacy; Medicine; Environmental health; Data science; Computer science","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":[0.001776147,0.0001260019,0.0002135368,0.0001137789,0.0001778685,0.0000319807,0.0002002465,0.00003011609,0.000001290929],"category_scores_gemma":[0.0009370029,0.0000992183,0.00001927179,0.0002811518,0.0000276805,0.0003678629,0.00006722536,0.00016085,0.000002251482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006925493,"about_ca_system_score_gemma":0.00006127848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001099733,"about_ca_topic_score_gemma":0.00001696002,"domain_scores_codex":[0.9985894,0.00003508424,0.0002538575,0.0003809652,0.0004092589,0.0003314535],"domain_scores_gemma":[0.9991173,0.0001767118,0.0001498625,0.0002683939,0.0001604791,0.0001272712],"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":[0.0003935387,0.0002636689,0.004763843,0.001907763,0.0001745507,0.00002119826,0.04745665,0.00002226228,0.118903,0.01304236,0.0194851,0.7935661],"study_design_scores_gemma":[0.02625636,0.02062953,0.1768784,0.006569039,0.0004168913,0.0009500718,0.00568244,0.5242493,0.1357694,0.03991499,0.05900815,0.003675441],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8533713,0.003465789,0.09381036,0.04459538,0.00305846,0.001101168,0.000001598803,0.0003839261,0.0002120738],"genre_scores_gemma":[0.9764642,0.00002639333,0.02042855,0.00178442,0.001060735,0.000009490202,0.000003379646,0.00001195497,0.000210953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7898906,"threshold_uncertainty_score":0.4046005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04171727536953371,"score_gpt":0.3288552280932191,"score_spread":0.2871379527236854,"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."}}