{"id":"W2024353580","doi":"10.1039/b805715j","title":"The influence of trace water concentration on iron oxide nanoparticle size","year":2008,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Iron oxide chemistry and applications","field":"Energy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Nanoparticle; Thermal decomposition; Boiling; Iron oxide nanoparticles; Iron oxide; Oxide; Solvent; Oleic acid; Particle size; Chemical engineering; Chemistry; Decomposition; Inorganic chemistry; Materials science; Nanotechnology; Organic chemistry; Physical chemistry","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":[0.0002511837,0.000351994,0.0002025518,0.0001904429,0.0001607236,0.000350467,0.0002832175,0.0003319188,0.00106495],"category_scores_gemma":[0.001603689,0.0002261893,0.0001416963,0.0001627027,0.0003073888,0.0004131556,0.0001766156,0.0003266521,0.0002435097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002830966,"about_ca_system_score_gemma":0.0002033366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001653516,"about_ca_topic_score_gemma":0.0020683,"domain_scores_codex":[0.9997565,0.00003713849,0.00002341851,0.000061789,0.00007640765,0.00004483877],"domain_scores_gemma":[0.9990587,0.00057518,0.00009693777,0.00005147433,0.0001685684,0.00004921359],"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":[0.0001367763,0.00001518258,0.0002174307,0.00003011551,0.000004846765,0.00003498572,0.00002420366,0.0001136929,0.9977204,0.00002671035,0.00003358712,0.001642001],"study_design_scores_gemma":[0.000001874864,0.00007686749,0.0004574022,0.000001586035,0.000004846083,0.00001503808,0.000007496975,0.0003190605,0.9988822,0.00001042646,0.0002210095,0.000002097232],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930913,0.001377885,0.00305401,0.00008982207,0.00004837549,0.00002762792,0.0002370865,0.0001011632,0.001972556],"genre_scores_gemma":[0.9961289,0.000590133,0.001421959,0.00004468452,0.000009423833,0.00001976071,0.0001824851,0.00003974043,0.001562965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001653516,"threshold_uncertainty_score":0.003562629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02073654057611565,"score_gpt":0.2537109553225775,"score_spread":0.2329744147464618,"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."}}