{"id":"W2497846653","doi":"10.1142/9789814299428_0017","title":"Maximizing the Uptake of Nickel Oxide Nanoparticles by <font>AOT</font> (W/O) Microemulsions","year":2012,"lang":"en","type":"book-chapter","venue":"Statistical science and interdisciplinary research","topic":"Transition Metal Oxide Nanomaterials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Microemulsion; Font; Nickel; Materials science; Chemistry; Computer science; Metallurgy; Artificial intelligence; Biochemistry","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":[0.00009064382,0.0003796655,0.0002502536,0.00009414688,0.0001715195,0.0003834997,0.0003062723,0.0002601716,0.001468034],"category_scores_gemma":[0.0001269034,0.0001667792,0.0002527078,0.0001143824,0.000106992,0.0005559389,0.0002839048,0.0003588805,0.0009934788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003860621,"about_ca_system_score_gemma":0.0001829387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008289262,"about_ca_topic_score_gemma":0.002105328,"domain_scores_codex":[0.9999436,0.000002995158,0.000003406485,0.00001815134,0.00002007186,0.00001179968],"domain_scores_gemma":[0.9999702,0.00001026193,0.000005550953,0.000002557917,0.000008196223,0.000003104649],"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":[0.0000252903,0.00001785157,0.00002814444,0.0001424728,0.000003157809,0.00004293508,0.00003559935,0.0001826854,0.9881887,0.0009776502,0.0004559643,0.009899532],"study_design_scores_gemma":[0.000002507635,0.00003145418,0.00008069737,0.000005147689,0.000005161669,0.00004015171,0.00001247213,0.0009892489,0.9917177,0.0001348922,0.006976194,0.000004372963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8302767,0.01285733,0.07497381,0.001084221,0.0004801975,0.0001816315,0.0005585574,0.001578401,0.07800913],"genre_scores_gemma":[0.8659418,0.008069517,0.04007294,0.0003397319,0.00008550944,0.0001014572,0.0003378434,0.0004774781,0.0845737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001468034,"threshold_uncertainty_score":0.004911065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0681966059957672,"score_gpt":0.3727228350570952,"score_spread":0.304526229061328,"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."}}