{"id":"W7131920000","doi":"","title":"Development of a sensor testbed for Maritime Autonomous Surface Ship situational awareness","year":2025,"lang":"en","type":"article","venue":"NPARC","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Transport Canada","keywords":"Testbed; Software deployment; Context (archaeology); Unmanned surface vehicle; Automotive industry; Situation awareness; Port (circuit theory); Hull","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"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":[0.001141835,0.0003617399,0.0002745895,0.0003404495,0.0003703852,0.0003952512,0.0008350326,0.0003317274,0.001894687],"category_scores_gemma":[0.0007893269,0.0001680585,0.000210508,0.0002580667,0.0004402366,0.0008046435,0.0007297046,0.0005100206,0.0004014669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006768677,"about_ca_system_score_gemma":0.001540652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005932824,"about_ca_topic_score_gemma":0.006964297,"domain_scores_codex":[0.9995155,0.00007464359,0.00002741358,0.00007970761,0.0002101615,0.00009255322],"domain_scores_gemma":[0.9994237,0.00007523482,0.00004154085,0.0001023925,0.0001926329,0.0001643729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001163692,0.001779076,0.02247469,0.000596457,0.000109122,0.0007731285,0.0006942676,0.1545492,0.6654687,0.01267655,0.01171526,0.1279999],"study_design_scores_gemma":[0.0005035618,0.005982512,0.0286647,0.00008253965,0.00005622641,0.0003538617,0.0005612802,0.4107638,0.4866743,0.002836548,0.06342217,0.00009849963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6182554,0.0002040829,0.3518652,0.0004878953,0.0002807101,0.003311318,0.002993933,0.009824801,0.01277673],"genre_scores_gemma":[0.7965454,0.0001405324,0.195306,0.0000824847,0.00001543049,0.001066501,0.003155815,0.0001823658,0.003505433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005932824,"threshold_uncertainty_score":0.01179659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783137405231159,"score_gpt":0.2559811344071363,"score_spread":0.2381497603548247,"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."}}