{"id":"W2106370976","doi":"10.1016/j.advwatres.2009.12.001","title":"Simulation of the subsurface mobility of carbon nanoparticles at the field scale","year":2009,"lang":"en","type":"article","venue":"Advances in Water Resources","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Western University","funders":"","keywords":"Carbon nanotube; Materials science; Nanomaterials; Nanoparticle; Carbon Nanoparticles; Environmental science; Nanotechnology","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":[0.0001940262,0.0004045561,0.0005589232,0.0004073943,0.0005821216,0.0006080533,0.0007716531,0.001687602,0.003242779],"category_scores_gemma":[0.0009827146,0.0003437064,0.0004412773,0.0004534472,0.0006786152,0.0006919602,0.0004041564,0.0007582295,0.0001393884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001370318,"about_ca_system_score_gemma":0.001219935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04553252,"about_ca_topic_score_gemma":0.01936691,"domain_scores_codex":[0.999916,0.00001128697,0.000002677095,0.00001938035,0.00001460228,0.00003612118],"domain_scores_gemma":[0.999311,0.0004794871,0.00003585374,0.00002840687,0.00008744851,0.00005787672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001118068,0.0001156146,0.002026989,0.00002647176,0.00001359315,0.0000823893,0.00002715815,0.9924949,0.002104598,0.001280915,0.0002987099,0.001416797],"study_design_scores_gemma":[0.00002231732,0.00002642467,0.0003071359,0.000001363232,0.000002439263,0.000005213846,0.00002202994,0.9987243,0.0004840246,0.0002952241,0.0001059373,0.000003666405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871036,0.00009416528,0.004019658,0.0003819718,0.0000372875,0.00002415336,0.0003304798,0.0001015609,0.007907027],"genre_scores_gemma":[0.9964241,0.00004410225,0.001876351,0.00003316752,0.000005583494,0.00002006674,0.0001486825,0.00001501984,0.001432909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04553252,"threshold_uncertainty_score":0.09053499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005824278479882433,"score_gpt":0.236111573356004,"score_spread":0.2302872948761216,"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."}}