{"id":"W4410961030","doi":"10.5194/sp-5-opsr-6-2025","title":"A description of ocean forecasting applications around the globe","year":2025,"lang":"en","type":"article","venue":"State of the Planet","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Globe; Livelihood; Maturity (psychological); Port (circuit theory); Stakeholder; Fishing; Business; Environmental resource management; Environmental planning; Computer science; Environmental science; Engineering; Political science; Geography; Agriculture; Public relations","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001356555,0.001405908,0.0006290376,0.004577796,0.001024528,0.003720045,0.001432351,0.001860106,0.03841159],"category_scores_gemma":[0.00250321,0.0007258173,0.0009031977,0.009673455,0.0003887817,0.003636035,0.002345892,0.001870749,0.03226659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008337084,"about_ca_system_score_gemma":0.001132341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007718409,"about_ca_topic_score_gemma":0.007645469,"domain_scores_codex":[0.9993175,0.00009898342,0.0001051675,0.0001003198,0.0002931225,0.00008479656],"domain_scores_gemma":[0.9985337,0.0004234142,0.000070494,0.0003227034,0.0004330942,0.0002166654],"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":[0.0002583855,0.0002186813,0.005150037,0.001669347,0.00007516101,0.002299917,0.001232475,0.007307319,0.01877096,0.03380246,0.3556935,0.5735218],"study_design_scores_gemma":[0.00001840933,0.0000264645,0.002320517,0.0003008008,0.00001499563,0.0005647868,0.0001615323,0.006597334,0.002151746,0.003890287,0.9839069,0.0000462739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01761092,0.01023343,0.3871458,0.004703124,0.0008464573,0.002006309,0.04852445,0.1368057,0.3921239],"genre_scores_gemma":[0.08647631,0.02146374,0.4950356,0.004518436,0.00068227,0.002212072,0.168694,0.02693492,0.1939828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03841159,"threshold_uncertainty_score":0.1284996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0128811253002888,"score_gpt":0.2058006011753472,"score_spread":0.1929194758750584,"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."}}