{"id":"W1975728156","doi":"10.1117/12.864698","title":"Mapping AIS coverage for trusted surveillance","year":2010,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Automatic Identification System; Computer science; Position (finance); Computer security; Collision","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004197073,0.0004546805,0.0003180465,0.002435618,0.0004976392,0.001144672,0.0005565966,0.0003647515,0.002268622],"category_scores_gemma":[0.003437922,0.000174711,0.0002756678,0.001604984,0.000206403,0.0007540686,0.001007947,0.0003307519,0.0007123635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009018398,"about_ca_system_score_gemma":0.0007212239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01508776,"about_ca_topic_score_gemma":0.0123373,"domain_scores_codex":[0.9992712,0.0001250857,0.00002207565,0.0001011139,0.0003757428,0.0001048761],"domain_scores_gemma":[0.9983938,0.0004435517,0.0002068009,0.0002799624,0.0005837449,0.00009203327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00102539,0.0001430187,0.06615146,0.0002621102,0.00007978124,0.0006190654,0.001078029,0.1331984,0.1088204,0.006866053,0.005182981,0.6765732],"study_design_scores_gemma":[0.00002692541,0.0002444421,0.06320371,0.00004977555,0.0000536229,0.0005849049,0.0007547074,0.8684473,0.04840555,0.002792547,0.01539087,0.00004563133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3919843,0.0004957666,0.5852011,0.000187307,0.00005825533,0.0001840631,0.001420867,0.003244462,0.01722371],"genre_scores_gemma":[0.8629687,0.0002473195,0.1333632,0.00002214081,0.00002341193,0.00007809747,0.00110487,0.0001410008,0.002051259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01508776,"threshold_uncertainty_score":0.02999985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008622855303744535,"score_gpt":0.2165336676985724,"score_spread":0.2079108123948278,"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."}}