{"id":"W2782535999","doi":"10.4031/mtsj.51.6.6","title":"An Integrated Approach to Increase Marine Transportation Safety in Harbor Areas","year":2017,"lang":"en","type":"article","venue":"Marine Technology Society Journal","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Risk analysis (engineering); Seriousness; Engineering; Marine transportation; Transport engineering; Environmental planning; Business; Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005040457,0.0002223264,0.0003012983,0.0001895208,0.0003483437,0.000112497,0.000622138,0.0003473764,0.0003031442],"category_scores_gemma":[0.0000685959,0.0002218548,0.0001176557,0.0003258718,0.0001136849,0.0003217294,0.00006602703,0.001122844,0.00001291739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002179143,"about_ca_system_score_gemma":0.0000493695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002546733,"about_ca_topic_score_gemma":0.0003253556,"domain_scores_codex":[0.998753,0.00002318919,0.0004598694,0.0002312135,0.0001728357,0.0003599263],"domain_scores_gemma":[0.9990643,0.00001136817,0.0001037648,0.0005151156,0.0001157536,0.0001896431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002261183,0.000570174,0.52427,0.0001118814,0.0002522946,0.000116245,0.0007961841,0.009611952,0.002478151,0.00695381,0.00450054,0.4501127],"study_design_scores_gemma":[0.002961449,0.0001220995,0.8838478,0.00005386021,0.00004407809,0.0001448486,0.0007074102,0.08350361,0.0006548971,0.002955544,0.02437763,0.0006267564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.929846,0.00003533744,0.04196237,0.002817142,0.0003216643,0.0004712094,0.00004498375,0.0009599757,0.02354126],"genre_scores_gemma":[0.9583196,0.0001354056,0.04092072,0.0001495581,0.00008339195,0.00002780731,0.000119666,0.00004151974,0.0002023454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4494859,"threshold_uncertainty_score":0.9046978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006342867587690366,"score_gpt":0.2263732494348702,"score_spread":0.2200303818471799,"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."}}