{"id":"W1985913925","doi":"10.1016/j.dsr.2010.04.002","title":"Seasonality of particle-associated trace element fluxes in the deep northeast Atlantic Ocean","year":2010,"lang":"en","type":"article","venue":"Deep Sea Research Part I Oceanographic Research Papers","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Ocean gyre; Oceanography; Flux (metallurgy); Seasonality; Trace element; Mesoscale meteorology; Environmental science; Tropical Atlantic; Geology; Annual cycle; Arctic; Sediment trap; Climatology; Subtropics; Water column; Sea surface temperature; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.04213572,0.0003833575,0.0004899321,0.0002347831,0.00101791,0.0001706658,0.002457858,0.0002862635,0.004051632],"category_scores_gemma":[0.003471332,0.000288087,0.0002883064,0.004844234,0.005245113,0.0003585518,0.0009178123,0.003561544,0.0003608702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003275409,"about_ca_system_score_gemma":0.0001168241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001540588,"about_ca_topic_score_gemma":0.01627662,"domain_scores_codex":[0.9798182,0.00716697,0.0009679933,0.001143906,0.007948312,0.00295466],"domain_scores_gemma":[0.9939697,0.003192157,0.0001496434,0.001801653,0.0001577254,0.0007290988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001239306,0.001605483,0.9782046,0.00004749743,0.00006898138,0.00009158003,0.002086526,0.0002381828,0.0101097,0.0005171215,0.001714694,0.005191686],"study_design_scores_gemma":[0.001085135,0.000555229,0.959939,0.00005635459,0.00001738913,0.00001295185,0.003538458,0.005487599,0.001513977,0.0006554449,0.02674679,0.000391638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884738,0.0001460211,0.00000729629,0.002415649,0.00009691633,0.001908788,0.00002382039,0.00004217769,0.00688552],"genre_scores_gemma":[0.9985957,0.0005232934,0.0001174379,0.0001047348,0.00008409873,0.0002143593,0.00004303346,0.00005559987,0.0002617244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03866439,"threshold_uncertainty_score":0.9999571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05050451123726633,"score_gpt":0.3440839185810553,"score_spread":0.293579407343789,"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."}}