{"id":"W4252813858","doi":"10.1007/978-1-4939-7131-2_101231","title":"Spam Review","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":"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001719198,0.0001421467,0.0001821415,0.00004880859,0.00004248216,0.00006469643,0.0005952182,0.0001234229,0.003453644],"category_scores_gemma":[0.00001151642,0.0001174191,0.0001005824,0.00002555209,0.00002259112,0.0001298296,0.000155211,0.0001411257,0.005699596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002339728,"about_ca_system_score_gemma":0.00003211076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000608097,"about_ca_topic_score_gemma":0.000006462237,"domain_scores_codex":[0.9992375,0.000006094554,0.0001509672,0.0003106767,0.0001981153,0.00009659064],"domain_scores_gemma":[0.9990838,0.00001933966,0.00008881041,0.000683927,0.00007379337,0.00005034421],"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":[2.704622e-7,0.000001547069,1.457772e-7,0.0001495169,0.00001111929,0.000004901752,0.0000119758,1.596412e-8,0.000001245441,0.4549298,0.5013777,0.04351178],"study_design_scores_gemma":[0.00001805065,0.00004225627,8.743717e-7,0.0009279348,0.00001061096,0.00001844145,3.53457e-8,0.00007138031,0.00001999088,0.05259689,0.9461437,0.0001498611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[4.68073e-8,0.007553884,0.05808006,0.0007404111,0.0009683827,0.0001133036,6.215296e-7,0.000240347,0.932303],"genre_scores_gemma":[0.000006203752,0.006885914,0.005271536,0.003682645,0.0004569532,0.000002498408,0.000002557612,0.00001322306,0.9836785],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.444766,"threshold_uncertainty_score":0.9974573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02819919694858739,"score_gpt":0.2376734666156178,"score_spread":0.2094742696670304,"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."}}