{"id":"W2103527399","doi":"10.1017/s0373463308004888","title":"AIS Database Powered by GIS Technology for Maritime Safety and Security","year":2008,"lang":"en","type":"article","venue":"Journal of Navigation","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automatic Identification System; Identification (biology); Maritime safety; Maritime security; Computer science; Computer security; Database; Geography; Environmental planning","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":[0.001643125,0.001163089,0.001467879,0.006169141,0.001233679,0.004259549,0.002123102,0.0009863066,0.05409284],"category_scores_gemma":[0.00537697,0.0007835635,0.000681616,0.009207408,0.0003586583,0.003694179,0.001858712,0.001538272,0.05958236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042769,"about_ca_system_score_gemma":0.004279698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01622981,"about_ca_topic_score_gemma":0.01165954,"domain_scores_codex":[0.9986576,0.0001219908,0.0003156711,0.0001957138,0.0006267604,0.00008220523],"domain_scores_gemma":[0.9961489,0.0004267354,0.0002061882,0.001155981,0.001764076,0.0002981943],"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":[0.0004680139,0.0001342421,0.00337078,0.0009077861,0.0001036608,0.0003749531,0.0003586897,0.003388112,0.005543824,0.01818732,0.704085,0.2630777],"study_design_scores_gemma":[0.0001380094,0.00004133342,0.004996693,0.0001703093,0.00007249579,0.000272553,0.0002491241,0.01659025,0.0093419,0.01107932,0.9569739,0.00007414395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.008081472,0.00159685,0.2207737,0.001451099,0.0006162627,0.001467808,0.5425681,0.1116127,0.111832],"genre_scores_gemma":[0.03679317,0.002300415,0.1440221,0.0005793958,0.0002382781,0.001660654,0.7637253,0.004983209,0.04569749],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05409284,"threshold_uncertainty_score":0.1809586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00679420684143155,"score_gpt":0.2250354376305865,"score_spread":0.2182412307891549,"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."}}