{"id":"W7096511891","doi":"","title":"HIDDEN IN SSL STREAMS USING MACHINE LEARNING","year":2010,"lang":"en","type":"article","venue":"","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permission; Acknowledgement; Conditional random field; Signature (topology); Field (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.003404748,0.0009579838,0.001185336,0.003548818,0.0009820304,0.004134844,0.001649945,0.001611386,0.01006167],"category_scores_gemma":[0.01368959,0.0006230408,0.001107714,0.003091736,0.001077497,0.007187409,0.00253069,0.003033135,0.006436669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001768765,"about_ca_system_score_gemma":0.001717339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007155363,"about_ca_topic_score_gemma":0.008383988,"domain_scores_codex":[0.9980877,0.000587888,0.0001633205,0.0004253719,0.0004784168,0.0002572289],"domain_scores_gemma":[0.9939126,0.003309737,0.0003776481,0.001146357,0.001030144,0.0002234879],"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":[0.001075232,0.0005495129,0.009587789,0.0002544121,0.0001595671,0.0003979928,0.0005766383,0.1700253,0.005580449,0.04148373,0.02229191,0.7480175],"study_design_scores_gemma":[0.00001282379,0.00002929534,0.0004199689,0.00002454382,0.00001009201,0.0000255939,0.00006343116,0.9623445,0.001638192,0.03334878,0.00206792,0.00001483386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05172331,0.00084033,0.9250947,0.001752595,0.0005149636,0.000290597,0.002998207,0.01055978,0.006225459],"genre_scores_gemma":[0.7268006,0.0007737887,0.248639,0.0003196184,0.0004849684,0.0002878554,0.008138814,0.0006265977,0.01392876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01006167,"threshold_uncertainty_score":0.0336597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03655478912850212,"score_gpt":0.3377135248729708,"score_spread":0.3011587357444687,"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."}}