{"id":"W3044082684","doi":"10.1016/j.cattod.2020.06.078","title":"Ultrasound-assisted bimetallic NiMo nanocatalyst preparation using microemulsions for in-situ upgrading application: Impact on particle size","year":2020,"lang":"en","type":"article","venue":"Catalysis Today","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Microemulsion; Nanomaterial-based catalyst; Sonication; Catalysis; Nanoparticle; Bimetallic strip; Materials science; Particle size; Chemical engineering; Molybdenum; Ultrasound; Metal; Chemistry; Nanotechnology; Metallurgy; Organic chemistry; Pulmonary surfactant","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001759588,0.0002924146,0.0004955544,0.0001250526,0.0002059125,0.0001016437,0.0001905448,0.00008694334,0.00002497],"category_scores_gemma":[0.0001968974,0.0002735716,0.0003135494,0.001339875,0.00004317585,0.0002560545,0.00003519632,0.0001089177,0.00007103081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002216244,"about_ca_system_score_gemma":0.00002503405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002501003,"about_ca_topic_score_gemma":0.00007692838,"domain_scores_codex":[0.9984107,0.00002776026,0.0005568982,0.0004627882,0.0001976127,0.0003442327],"domain_scores_gemma":[0.9989206,0.0003143649,0.0001129865,0.0004104389,0.00008290531,0.000158755],"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":[0.00004699926,0.00007447197,0.001155877,0.00004861486,0.0002922201,0.000001149501,0.0009385733,0.06983817,0.9262982,0.00007581442,0.0005665321,0.0006633562],"study_design_scores_gemma":[0.001412284,0.0001077746,0.01261862,0.00004975045,0.0006116959,0.0000125016,0.000373709,0.1550343,0.8263316,0.00007096776,0.002584078,0.0007927284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766353,0.0005147702,0.02136336,0.0002283126,0.00006523841,0.0005534966,0.00006391122,0.0002466803,0.0003289653],"genre_scores_gemma":[0.9984301,0.00005814654,0.0006044174,0.0001116158,0.0001422295,0.0001756064,0.0003804216,0.00005407859,0.0000433745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09996667,"threshold_uncertainty_score":0.9999716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02478504177183298,"score_gpt":0.2836487876813156,"score_spread":0.2588637459094826,"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."}}