{"id":"W209062822","doi":"","title":"Using Ship Speed and Mass to Describe Potential Collision Severity with Whales: An Application of the Ship Traffic, Energy and Environment Model (STEEM)","year":2007,"lang":"en","type":"article","venue":"Transportation Research Board 86th Annual MeetingTransportation Research Board","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collision; Nova scotia; Whale; Right whale; Fishery; Marine engineering; Bay; Environmental science; Oceanography; Engineering; Meteorology; Geography; Geology","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":[0.0005352494,0.00073389,0.0004304968,0.0007834212,0.0003890759,0.0007301651,0.0006144848,0.0006148501,0.0008323808],"category_scores_gemma":[0.001575863,0.0003787016,0.0009378828,0.000414856,0.0002191073,0.0005247379,0.0006709875,0.0004352709,0.000203802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006873361,"about_ca_system_score_gemma":0.0006533805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06653739,"about_ca_topic_score_gemma":0.03516461,"domain_scores_codex":[0.9998695,0.00003818485,0.000009817084,0.00002760326,0.00003795513,0.0000170537],"domain_scores_gemma":[0.999707,0.0001598112,0.00004443328,0.00002129601,0.00004862958,0.00001874489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005302526,0.00003920258,0.0239414,0.00002263945,0.00006765522,0.00009937904,0.00006625496,0.956423,0.001049081,0.001119897,0.0004028985,0.0167156],"study_design_scores_gemma":[0.000006961514,0.00002595768,0.003127825,0.000002808257,0.00001017769,0.00002585456,0.00002628684,0.9955705,0.0002151675,0.0005706591,0.0004061036,0.00001164263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5882857,0.0002350261,0.4047716,0.0003812185,0.000106453,0.0001304126,0.0007246579,0.001009897,0.004355018],"genre_scores_gemma":[0.9393563,0.0001824071,0.05821041,0.00004490639,0.00002240341,0.00008657172,0.0003712463,0.00008356719,0.001642154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06653739,"threshold_uncertainty_score":0.1323002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06067565495109666,"score_gpt":0.3314527913622474,"score_spread":0.2707771364111507,"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."}}