{"id":"W4394321642","doi":"10.6084/m9.figshare.8959499.v1","title":"Facebook database","year":2019,"lang":"pl","type":"dataset","venue":"Figshare","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Database; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009552426,0.002056827,0.001833541,0.008097639,0.002144314,0.00590973,0.002308203,0.00208725,0.5416887],"category_scores_gemma":[0.008190733,0.0007567367,0.0008709564,0.008072591,0.0003650952,0.007042533,0.004378741,0.001964427,0.6570236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001851539,"about_ca_system_score_gemma":0.002344177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009286807,"about_ca_topic_score_gemma":0.01300132,"domain_scores_codex":[0.9981054,0.0002509753,0.0002451961,0.0003315026,0.00081873,0.0002480939],"domain_scores_gemma":[0.9953831,0.0007575901,0.000292775,0.001153416,0.001795067,0.0006180641],"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":[0.00003703817,0.00001554557,0.0002165499,0.0002985708,0.000005940887,0.00003170333,0.00003795073,0.00004460525,0.0001017003,0.001850524,0.9754566,0.02190333],"study_design_scores_gemma":[0.00001457634,0.000006638662,0.0005097622,0.0001193266,0.000004327232,0.00004433161,0.00006847818,0.0001357343,0.0001079957,0.001358829,0.9976146,0.0000154688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007776667,0.001842842,0.001924737,0.001948725,0.001002108,0.0003267337,0.7000981,0.01715424,0.2749249],"genre_scores_gemma":[0.00429158,0.002657772,0.00326771,0.001574014,0.0005706713,0.0006650491,0.8264466,0.004716325,0.1558102],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5416887,"threshold_uncertainty_score":0.6537254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09597859473856864,"score_gpt":0.2894914586005146,"score_spread":0.1935128638619459,"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."}}