{"id":"W4412277443","doi":"","title":"Testing the Water: Applying BIMCO AUTOSHIPMAN to Remotely Controlled Ships, Cyber incidents and Events of Force Majeure","year":2021,"lang":"en","type":"article","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"Military Strategy and Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Force majeure; Aeronautics; Computer security; Engineering; Computer science; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001309823,0.0001850481,0.0005127341,0.0001866264,0.0008289719,0.00001306978,0.001085751,0.0001709165,0.02024276],"category_scores_gemma":[0.0001820852,0.0001488824,0.0001362995,0.0007790897,0.0004752095,0.0002522435,0.001093043,0.000460343,0.00229792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001288326,"about_ca_system_score_gemma":0.0001203249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006121896,"about_ca_topic_score_gemma":0.001164227,"domain_scores_codex":[0.9979025,0.000506282,0.000218868,0.0003283503,0.0005476259,0.000496354],"domain_scores_gemma":[0.9980588,0.0006286824,0.00008420104,0.0006292819,0.0004458844,0.0001531629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003379514,0.0002714146,0.0003200822,0.001286529,0.00203713,0.00103075,0.02251586,0.006923687,0.6201041,0.0009950271,0.3166346,0.02450128],"study_design_scores_gemma":[0.0224676,0.001708078,0.1465351,0.001435596,0.001078099,0.0002437227,0.1184563,0.02288628,0.2248779,0.001040455,0.4573633,0.001907575],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585196,0.002116329,0.0009234797,0.0006335118,0.00004083615,0.0009912871,0.00003759691,0.00005976576,0.03667762],"genre_scores_gemma":[0.9103431,0.0001405896,0.0006762856,0.00001207552,0.000008086985,3.268176e-7,0.00001471089,0.00001685,0.088788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3952262,"threshold_uncertainty_score":0.9984789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0392209975524194,"score_gpt":0.2396880403717899,"score_spread":0.2004670428193705,"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."}}