{"id":"W4416047279","doi":"10.18517/ijaseit.15.5.20735","title":"Quality of Navigational Safety in the Inland Waterway Transport System of the Musi River: Seafarer’s Perceptions","year":2025,"lang":"","type":"article","venue":"International Journal on Advanced Science Engineering and Information Technology","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Quality (philosophy); Perception; Maritime safety; Data collection; Hydrography; Current (fluid)","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":[],"consensus_categories":[],"category_scores_codex":[0.001573206,0.000173045,0.0002608799,0.001131113,0.0002131763,0.0000535699,0.00104963,0.0001487938,0.00001559212],"category_scores_gemma":[0.0003283099,0.000122782,0.0001007772,0.001457765,0.0005124285,0.001267529,0.00008035891,0.0007347704,0.000002252092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003826587,"about_ca_system_score_gemma":0.0001836635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001075697,"about_ca_topic_score_gemma":0.000001531683,"domain_scores_codex":[0.9974938,0.00004084509,0.001300435,0.0001296697,0.0008156822,0.0002195536],"domain_scores_gemma":[0.9985992,0.000143167,0.0003526285,0.0002436476,0.000620561,0.00004083212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001006228,0.00005627513,0.007813395,0.000225751,0.00006883383,0.000001563413,0.002778223,0.5191273,0.006113686,0.4261113,0.00001272891,0.03759031],"study_design_scores_gemma":[0.004212492,0.0001671896,0.7770615,0.003414936,0.00004075544,0.0002629218,0.007875783,0.1770971,0.009789143,0.002225495,0.0173466,0.0005060679],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9429338,0.0001258622,0.04663022,0.003902968,0.002268235,0.000383878,0.0001465421,0.00006026744,0.003548212],"genre_scores_gemma":[0.9984036,0.0002613303,0.001168557,0.00009969003,0.00002246418,0.00001089872,0.000009499799,0.000004209249,0.00001971683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7692481,"threshold_uncertainty_score":0.5006905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003924707044816928,"score_gpt":0.2463310864197988,"score_spread":0.2424063793749819,"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."}}