{"id":"W2158117821","doi":"10.1016/j.marchem.2013.02.006","title":"Different pools of black carbon in sediments from the Gulf of Cádiz (SW Spain): Method comparison and spatial distribution","year":2013,"lang":"en","type":"article","venue":"Marine Chemistry","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Ministerio de Educación, Cultura y Deporte","keywords":"Plume; Soot; Carbon black; Carbon fibers; Total organic carbon; Sorting; Environmental science; Environmental chemistry; Spatial distribution; Oceanography; Estuary; Geology; Chemistry; Combustion; Meteorology; Geography","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":[0.0004153744,0.000584412,0.0003221188,0.003547231,0.0006368046,0.0009873877,0.0004500804,0.0005830606,0.0005179047],"category_scores_gemma":[0.0006009071,0.0002215106,0.0003728816,0.001533579,0.0003437015,0.000246339,0.0007377259,0.0001600683,0.000169334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007503644,"about_ca_system_score_gemma":0.0009047752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09206707,"about_ca_topic_score_gemma":0.1590826,"domain_scores_codex":[0.9996239,0.00003606158,0.00003318856,0.0001492281,0.00009740585,0.00006015141],"domain_scores_gemma":[0.9997278,0.00003018129,0.00004580217,0.0000184679,0.0001516556,0.00002609443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00105411,0.0001171549,0.8502004,0.0003625623,0.0003628868,0.0002841717,0.00135734,0.001696557,0.07722766,0.0001588736,0.0003049108,0.06687354],"study_design_scores_gemma":[0.00003606096,0.00007116047,0.9825954,0.00005067681,0.0001713028,0.0002105811,0.0008289237,0.00228192,0.01107601,0.00009037643,0.002567069,0.00002042239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957927,0.0007961939,0.001151724,0.00002674308,0.00001629803,0.00003468867,0.0008283514,0.00004096511,0.001312268],"genre_scores_gemma":[0.9910769,0.0006985406,0.005344098,0.00003781529,0.00001287742,0.00005839579,0.001120469,0.00003137669,0.001619552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09206707,"threshold_uncertainty_score":0.1830624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007843678501516528,"score_gpt":0.2355895990940895,"score_spread":0.227745920592573,"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."}}