{"id":"W4404485244","doi":"10.1039/d4en00954a","title":"Nanotechnology for oil spill response and cleanup in coastal regions","year":2024,"lang":"en","type":"article","venue":"Environmental Science Nano","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Fisheries and Oceans Canada; Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Oil spill; Environmental science; Environmental chemistry; Petroleum engineering; Environmental engineering; Geology; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007837318,0.0001174737,0.00008562399,0.0001569024,0.000309415,0.00006093525,0.0001850603,0.00007823507,0.000339207],"category_scores_gemma":[0.00007106186,0.0001101179,0.00003474385,0.0004819033,0.00147433,0.0003706733,0.0002453929,0.0001098584,0.0002834209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004018109,"about_ca_system_score_gemma":0.00001849877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001006111,"about_ca_topic_score_gemma":0.0002764845,"domain_scores_codex":[0.9986259,0.00003104727,0.0001605787,0.0005398786,0.0002627284,0.0003798459],"domain_scores_gemma":[0.9996346,0.00006664401,0.00002562898,0.0001674879,9.079511e-7,0.0001047797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006485784,0.00003423452,0.002835131,0.000004977142,0.000001160916,0.000009572635,0.0004238992,0.00005009037,0.8803352,0.0003479169,0.0001749176,0.1157181],"study_design_scores_gemma":[0.001589073,0.0010599,0.2607183,0.0001040182,0.00002174883,0.0002776513,0.002728929,0.0105847,0.4610858,0.004594816,0.2562927,0.000942287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967908,0.00008943466,0.0002099158,0.001286277,0.0002337443,0.0001468998,0.00001828317,0.00007244624,0.001152216],"genre_scores_gemma":[0.9968558,0.0001092039,0.0007560169,0.0001641352,0.00001398314,0.00005558933,0.000002770233,0.00001141698,0.002031119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4192494,"threshold_uncertainty_score":0.5432231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006557428790781489,"score_gpt":0.2236953201878944,"score_spread":0.2171378913971129,"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."}}