{"id":"W2584549960","doi":"10.1088/1742-6596/51/1/012020","title":"Freshwater Sediment Characterization Factors of Copper Oxide Nanoparticles","year":2017,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Scholarship Council","keywords":"Sediment; Environmental chemistry; Benthic zone; Environmental science; Copper oxide; Copper; Ecosystem; Characterization (materials science); Ecology; Chemistry; Geology; Biology; Nanotechnology; Materials science; Geomorphology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004749376,0.0003328155,0.0001416385,0.00122646,0.0003223796,0.000364172,0.000131388,0.0001856593,0.000414817],"category_scores_gemma":[0.0007196197,0.00009777739,0.0003117393,0.0005880679,0.0001181143,0.0002001791,0.0002261142,0.00009132795,0.00008230402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008359908,"about_ca_system_score_gemma":0.0005948871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01898159,"about_ca_topic_score_gemma":0.01971618,"domain_scores_codex":[0.9997624,0.00003301648,0.00002932847,0.00003975452,0.000107074,0.00002854579],"domain_scores_gemma":[0.9995703,0.00006253039,0.0001078736,0.00001063231,0.0002361092,0.00001264797],"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":[0.0003469663,0.00006891407,0.1224845,0.0006081498,0.00004859645,0.0005160169,0.0001758984,0.02366054,0.7894216,0.0008029499,0.0004635582,0.06140239],"study_design_scores_gemma":[0.00001449213,0.0007391323,0.2205199,0.00006033954,0.0001026021,0.0004426191,0.0003775787,0.02187894,0.7488153,0.0003280615,0.006671314,0.00004977929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864488,0.0007937828,0.008661815,0.00003188773,0.000006687226,0.00008337365,0.0005036805,0.00005269605,0.003417254],"genre_scores_gemma":[0.9923412,0.0005982248,0.00572601,0.00001086436,0.000002130798,0.00004002513,0.0004543656,0.0000119661,0.0008153399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01898159,"threshold_uncertainty_score":0.0377422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814381577459559,"score_gpt":0.2171179194426626,"score_spread":0.1989741036680671,"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."}}