{"id":"W2092209410","doi":"10.7901/2169-3358-2008-1-443","title":"THE SHORELINE RESPONSE DECISION-MAKING PROCESS","year":2008,"lang":"en","type":"article","venue":"International Oil Spill Conference Proceedings","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Process (computing); Identification (biology); Computer science; Oil spill; Risk analysis (engineering); Decision analysis; Decision-making; Selection (genetic algorithm); Shore; Environmental resource management; Environmental science; Operations research; Ecology; Engineering; Business; Operations management; Machine learning; Geology; Mathematics","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":[],"category_scores_codex":[0.0003956627,0.0001447642,0.00009008456,0.00004255737,0.000348083,0.0001362315,0.0007800283,0.00003229329,0.001756049],"category_scores_gemma":[0.0005713272,0.0001005203,0.00005059057,0.0001850751,0.0002298258,0.0002798227,0.001511892,0.0001357386,0.0003834825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001294342,"about_ca_system_score_gemma":0.00002348295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004697214,"about_ca_topic_score_gemma":0.00007549835,"domain_scores_codex":[0.9984666,0.000006170248,0.0002576621,0.000322278,0.0007069263,0.0002404136],"domain_scores_gemma":[0.9994701,0.0001278787,0.0001105452,0.00009454637,0.0001302647,0.00006673636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001670662,0.0001073191,0.02782632,0.000008873943,0.00003712261,0.00004415375,0.001686989,0.0001411985,0.001148107,0.007002803,0.02090491,0.9394215],"study_design_scores_gemma":[0.001021876,0.0002788148,0.1413933,0.0002276617,0.0000229388,0.0002636978,0.00146821,0.02422795,0.0006128625,0.07885332,0.750834,0.0007953094],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7698669,0.00001108812,0.0007931938,0.005079452,0.0003243771,0.00008569103,0.000003210477,0.00007461684,0.2237615],"genre_scores_gemma":[0.9916285,0.0001233501,0.0006467772,0.0004042163,0.000078911,0.00004828536,0.000001958738,0.00001098858,0.007057027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9386262,"threshold_uncertainty_score":0.9991565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451121630539733,"score_gpt":0.2648642074430933,"score_spread":0.250352991137696,"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."}}