{"id":"W3184788626","doi":"","title":"Using Earth Observation to Protect the Marine Environment in Canada- Case Study: Integrated Satellite Tracking of Polluters (I-STOP)","year":2005,"lang":"en","type":"article","venue":"ESA Special Publication","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Earth observation satellite; Satellite; Earth observation; Tracking (education); Remote sensing; Satellite tracking; Environmental science; Geography; Engineering; Aerospace engineering","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":[0.0008698044,0.000434982,0.0003357274,0.0006537458,0.0009872274,0.0007996376,0.00079402,0.0006853445,0.0008973411],"category_scores_gemma":[0.001752792,0.0001847608,0.0005046439,0.002372627,0.0005164101,0.0004403633,0.0004806166,0.0004371939,0.00008919321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009658935,"about_ca_system_score_gemma":0.01675161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9897955,"about_ca_topic_score_gemma":0.9935663,"domain_scores_codex":[0.9994658,0.00008951004,0.00001805739,0.00004859629,0.000155383,0.000222726],"domain_scores_gemma":[0.9988366,0.0003192398,0.0001519979,0.00008121567,0.0004668738,0.0001440915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001334115,0.0008145063,0.7766999,0.0003090852,0.0005956871,0.002498037,0.001069128,0.1266232,0.004592664,0.001705017,0.005265537,0.07849318],"study_design_scores_gemma":[0.0004752321,0.0008160588,0.8651431,0.00007631766,0.0006856475,0.0003878866,0.005530632,0.1123509,0.005647202,0.0003772691,0.008420939,0.0000887493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916026,0.0003200489,0.001079229,0.0004136079,0.00001002726,0.0001056169,0.001491174,0.00006065858,0.004916936],"genre_scores_gemma":[0.9939868,0.0003481668,0.002204096,0.00005456611,0.000003670412,0.00001884135,0.0008208908,0.000007479696,0.00255546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01020449,"threshold_uncertainty_score":0.07008082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312169432720444,"score_gpt":0.2353632748138846,"score_spread":0.2041463315418403,"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."}}