{"id":"W2895983956","doi":"","title":"Falsification Discovery in AIS Messages ; Decision Support and Risk Assessment for Operational Effectiveness","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Spoofing attack; Computer security; Broadcasting (networking); Identification (biology); Data quality; Automatic Identification System; Engineering; Operations management","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005533644,0.0002666557,0.0003325882,0.0001872674,0.0001803709,0.0003606332,0.0003719687,0.0002625046,0.00005914762],"category_scores_gemma":[0.0007902963,0.000257303,0.0001094713,0.0001413085,0.00008541546,0.0003107626,0.0003113793,0.0003798817,0.000006231206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002217092,"about_ca_system_score_gemma":0.0001492416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001449878,"about_ca_topic_score_gemma":0.0003935484,"domain_scores_codex":[0.9966525,0.001808531,0.0004967876,0.0005389017,0.0002820748,0.0002211683],"domain_scores_gemma":[0.9950808,0.003134808,0.0001692233,0.0007795032,0.0007423731,0.00009332814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001099778,0.0009825123,0.1035148,0.001587026,0.00033291,0.000004575606,0.003405309,0.005750646,0.01238732,0.2318326,0.001796586,0.6382958],"study_design_scores_gemma":[0.004620485,0.000002232059,0.5890324,0.005115574,0.0001172376,0.000008001465,0.00008189399,0.2959746,0.04706841,0.04409251,0.01261258,0.001274131],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1703661,0.000312964,0.8159065,0.001031884,0.000236681,0.0008884491,0.0004255596,0.0001476231,0.01068421],"genre_scores_gemma":[0.9604632,0.001733624,0.035578,0.00001708274,0.00002235986,0.000428259,0.001005847,0.00004634096,0.0007052572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7900971,"threshold_uncertainty_score":0.9999879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009302962928368798,"score_gpt":0.2547163763083229,"score_spread":0.2454134133799541,"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."}}