{"id":"W38880391","doi":"10.1016/j.jpain.2024.104605","title":"Pengelasan e-mel menggunakan kaedah perambat balik","year":2008,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Saskatchewan Health Research Foundation","keywords":"Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005837415,0.0007156555,0.0004750983,0.0006399025,0.001495797,0.002401454,0.0005872927,0.0008121766,0.1054679],"category_scores_gemma":[0.001245711,0.0002770762,0.0002807503,0.0004630496,0.0006838233,0.001609402,0.001412983,0.00131598,0.02975327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007031909,"about_ca_system_score_gemma":0.001766535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002918249,"about_ca_topic_score_gemma":0.004857544,"domain_scores_codex":[0.9996964,0.00006520868,0.00002143567,0.0001020662,0.00007804517,0.00003683531],"domain_scores_gemma":[0.9995831,0.0001401306,0.00004377979,0.00002546726,0.0001117181,0.00009588612],"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":[0.0008175902,0.0003235253,0.006513951,0.0048555,0.00006760817,0.005169125,0.005242027,0.00141194,0.01225327,0.03308398,0.1598084,0.7704532],"study_design_scores_gemma":[0.00002051013,0.0001114601,0.0058433,0.0006276223,0.00002320001,0.002045922,0.001925454,0.0004323803,0.001888286,0.003405738,0.9836335,0.0000426132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08950329,0.08999185,0.01537144,0.02423606,0.01574216,0.0002687944,0.002842507,0.001483647,0.7605602],"genre_scores_gemma":[0.364886,0.05011034,0.01500289,0.003076274,0.001806531,0.0001958368,0.001248403,0.0008552347,0.5628185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1054679,"threshold_uncertainty_score":0.3528251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0214688483510644,"score_gpt":0.2034821769362379,"score_spread":0.1820133285851735,"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."}}