{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000367783,0.00009601974,0.00009207865,0.00007045399,0.0001070704,0.0000373792,0.0001157341,0.00002801561,0.0009657145],"category_scores_gemma":[0.00006088648,0.0000817355,0.00002008604,0.0005313123,0.00003072072,0.0003355997,0.00006536551,0.0001078956,0.00003159335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198717,"about_ca_system_score_gemma":0.00007020891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6496403,"about_ca_topic_score_gemma":0.922787,"domain_scores_codex":[0.9988871,0.0001031495,0.0003312711,0.0002226143,0.0003031158,0.0001527485],"domain_scores_gemma":[0.9995562,0.00001729187,0.0001414067,0.0002081241,0.00001761019,0.00005933302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002901541,0.0001178773,0.07709946,0.000002596919,0.000005726496,0.000007972444,0.001861229,0.01102921,0.008670375,0.00003345642,0.0001047751,0.9010383],"study_design_scores_gemma":[0.0003703585,0.00006178745,0.9374321,0.000006856796,0.000008744337,0.00002927749,0.002128922,0.005999266,0.007477262,0.00001893396,0.04631969,0.000146857],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951702,0.000002640953,0.0005324692,0.002005901,0.00008701644,0.0009415937,0.000003784228,0.00001144137,0.001244931],"genre_scores_gemma":[0.9978878,0.000003964381,0.001432975,0.0002694981,0.0001586269,0.00004541277,0.000009623916,0.00000877014,0.0001833238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9008914,"threshold_uncertainty_score":0.9999475,"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."}}