{"id":"W2019265880","doi":"10.1252/jcej.13we268","title":"Formation of Non-Aggregated Nickel Nanoparticles in a Tubular Furnace Reactor","year":2014,"lang":"en","type":"article","venue":"JOURNAL OF CHEMICAL ENGINEERING OF JAPAN","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nickel; Nozzle; Quenching (fluorescence); Aerosol; Nanoparticle; Supercooling; Materials science; Chemical engineering; Hydrogen; Chemistry; Metallurgy; Nanotechnology; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002112762,0.00005693494,0.000180815,0.00005517455,0.000004513715,0.000002915811,0.00007801734,0.00003193407,0.00003028299],"category_scores_gemma":[0.0001793842,0.00004950978,0.00005302616,0.0001591751,0.00003126003,0.0001598131,0.00003211891,0.00007663026,0.000002811964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004639209,"about_ca_system_score_gemma":0.000003407007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009695645,"about_ca_topic_score_gemma":6.789402e-7,"domain_scores_codex":[0.999234,0.000007693311,0.0004341541,0.00004317767,0.0002022272,0.00007872285],"domain_scores_gemma":[0.9995891,0.00005373578,0.0002248067,0.00006490669,0.00002439414,0.00004305736],"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":[0.000016774,0.00003057672,0.004901796,0.00001519578,0.000005167459,1.683752e-7,0.0003633425,0.01638454,0.9772968,0.0000128538,0.00008202031,0.0008908054],"study_design_scores_gemma":[0.0005455137,0.00004375419,0.04193178,0.00007329969,0.00000963873,0.000008974895,0.00003043855,0.1001818,0.8566839,0.00003462112,0.0003921146,0.0000641762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978444,0.00002898003,0.001864759,0.0001087623,0.00003045295,0.00002906678,3.805989e-7,0.00000370248,0.00008946819],"genre_scores_gemma":[0.9982665,0.000004560211,0.001693382,0.000009415569,0.0000167464,3.389309e-7,4.122596e-7,0.000004254921,0.000004369321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1206128,"threshold_uncertainty_score":0.201895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006554032266068139,"score_gpt":0.2050904301440256,"score_spread":0.1985363978779575,"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."}}