{"id":"W6894266537","doi":"10.5683/sp3/umzh4v","title":"Fraud Exploitation","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Categorical variable; Work (physics); Feature (linguistics); Term (time)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006784704,0.001941909,0.001061426,0.005380006,0.001813723,0.002131009,0.002328839,0.001308126,0.01360169],"category_scores_gemma":[0.003509728,0.0003633962,0.0009718141,0.007710339,0.0005537713,0.0009846931,0.001669027,0.001695191,0.01648561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006267422,"about_ca_system_score_gemma":0.007686066,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5473773,"about_ca_topic_score_gemma":0.7271038,"domain_scores_codex":[0.9980635,0.0001271054,0.0001094159,0.0003008437,0.0009532633,0.0004458061],"domain_scores_gemma":[0.9974394,0.0001717638,0.0001971467,0.0004360347,0.001355962,0.0003996197],"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":[0.0001625056,0.0001288207,0.01545556,0.0002332819,0.00006276392,0.0001359063,0.00009735225,0.000821859,0.0002814889,0.001013619,0.9662719,0.0153351],"study_design_scores_gemma":[0.0001286402,0.00006190617,0.06921224,0.000319982,0.00005497622,0.0004696707,0.0007311847,0.005482323,0.001787456,0.001353683,0.92031,0.00008802594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01051293,0.0003283743,0.0002656336,0.0002724352,0.0001029089,0.0001151143,0.9813536,0.0006592663,0.006389675],"genre_scores_gemma":[0.006950969,0.0001336998,0.0005386762,0.00005729539,0.00001318074,0.00005103686,0.9895653,0.00003390857,0.00265608],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5473773,"threshold_uncertainty_score":0.9105765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03153415343740539,"score_gpt":0.2908094862155524,"score_spread":0.259275332778147,"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."}}