{"id":"W2112970422","doi":"10.1016/j.jglr.2014.02.022","title":"Optical scattering properties of organic-rich and inorganic-rich particles in inland waters","year":2014,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Scattering; Absorption (acoustics); Particle (ecology); Particulates; Wavelength; Attenuation coefficient; Particle size; Range (aeronautics); Light scattering; Analytical Chemistry (journal); Materials science; Environmental science; Chemistry; Mineralogy; Environmental chemistry; Optics; Physics; Geology; Composite material; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001047649,0.0002257372,0.0001610311,0.0004894569,0.000479077,0.0003567774,0.0001469013,0.0002440934,0.0009322193],"category_scores_gemma":[0.0001690362,0.0002371946,0.0002326462,0.0002982111,0.0002797791,0.0003132217,0.0002296047,0.0001803309,0.0002481054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004078609,"about_ca_system_score_gemma":0.0002542245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02859017,"about_ca_topic_score_gemma":0.02927652,"domain_scores_codex":[0.999952,0.000004148398,0.000004753559,0.0000158728,0.000009222566,0.00001410572],"domain_scores_gemma":[0.9998903,0.0000257517,0.0000233864,0.000005248221,0.00002843779,0.00002676869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001086525,0.0001244875,0.720796,0.0000638163,0.0001228133,0.0002767415,0.0005369888,0.002417666,0.2669993,0.0002571815,0.0004147041,0.006903765],"study_design_scores_gemma":[0.00001128105,0.00007942757,0.98528,0.000003847877,0.0000366105,0.0001237603,0.0006633233,0.00252715,0.01088357,0.00006700429,0.0003147067,0.000009394359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992809,0.00004391557,0.00006842244,0.000005528384,0.000001728688,0.000001195511,0.0001109003,0.000003209096,0.0004842752],"genre_scores_gemma":[0.9991204,0.00005896305,0.0001297722,0.00001000221,0.000002419551,0.000002038907,0.0002219657,0.000003198432,0.0004512876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02859017,"threshold_uncertainty_score":0.05684751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03935937092690094,"score_gpt":0.2514717112419257,"score_spread":0.2121123403150247,"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."}}