{"id":"W3109275185","doi":"10.4095/326956","title":"Project MOSS: Marine Oil Spill Studies","year":2020,"lang":"en","type":"report","venue":"","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Moss; Oil spill; Environmental science; Oceanography; Geology; Ecology; Biology; Environmental protection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001779477,0.000802363,0.0002458416,0.001718241,0.001001122,0.0009675818,0.0006695627,0.0004398226,0.01187216],"category_scores_gemma":[0.001294695,0.000172645,0.000246704,0.001433961,0.000334861,0.0006576289,0.002997085,0.0005842269,0.003864707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00195875,"about_ca_system_score_gemma":0.01072119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06456155,"about_ca_topic_score_gemma":0.08860195,"domain_scores_codex":[0.9992849,0.0001248358,0.00003140038,0.0001159582,0.0003116825,0.000131225],"domain_scores_gemma":[0.9981675,0.00008024723,0.0001684,0.0001304126,0.0007015782,0.0007518387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003674733,0.001917988,0.1433812,0.001938989,0.0001918542,0.002423827,0.002486323,0.002982992,0.0172885,0.01173926,0.4304357,0.3815386],"study_design_scores_gemma":[0.0004302544,0.002128739,0.2175303,0.0005183659,0.00007651516,0.0006154068,0.002684259,0.001065099,0.01003436,0.002552355,0.7623244,0.00003990256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.4484468,0.004737259,0.005624106,0.01295101,0.001207899,0.005936926,0.2178913,0.002180148,0.3010246],"genre_scores_gemma":[0.492964,0.008769476,0.02600057,0.002432875,0.0007028341,0.004027301,0.1856124,0.0006036583,0.2788869],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.06456155,"threshold_uncertainty_score":0.1283715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06248710408204562,"score_gpt":0.3167167972257449,"score_spread":0.2542296931436993,"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."}}