{"id":"W4234989875","doi":"10.1007/978-1-4939-7131-2_100997","title":"Review Spammer","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine","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":[0.0009737799,0.0009979806,0.001070408,0.005945137,0.0009130955,0.003423272,0.0009550364,0.00224275,0.07196927],"category_scores_gemma":[0.005019673,0.0004231528,0.0003997127,0.003869356,0.0009008393,0.004889784,0.001415474,0.001903787,0.0829821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001000955,"about_ca_system_score_gemma":0.001878587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009970749,"about_ca_topic_score_gemma":0.002573886,"domain_scores_codex":[0.9992828,0.0001080059,0.00003770902,0.0001259432,0.0003819861,0.0000635374],"domain_scores_gemma":[0.9972492,0.0009317442,0.0002190411,0.000191684,0.001140006,0.0002682968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001596275,0.00002150263,0.000136715,0.0008469749,0.00000879924,0.00002872585,0.00005300067,0.00005132064,0.0002663805,0.003040799,0.5737892,0.4217405],"study_design_scores_gemma":[0.000002611224,0.00001211634,0.0001448917,0.0003916479,0.000008727095,0.0001401588,0.00002532182,0.00004500035,0.0001135121,0.001870784,0.9972404,0.000004754609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.001169622,0.7509136,0.006463884,0.02855941,0.02454986,0.00009114572,0.0006113917,0.00124961,0.1863914],"genre_scores_gemma":[0.007769422,0.48537,0.004088,0.02770186,0.02974296,0.0001225879,0.001383955,0.0005834303,0.4432378],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07196927,"threshold_uncertainty_score":0.2407612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03523414692063061,"score_gpt":0.2468116754904262,"score_spread":0.2115775285697956,"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."}}