{"id":"W2060337678","doi":"10.1155/2008/619032","title":"Synthesis of Ag or Pt Nanoparticles by Hydrolysis of Either<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mrow><mml:msub><mml:mrow><mml:mtext>Ag</mml:mtext></mml:mrow><mml:mtext>2</mml:mtext></mml:msub><mml:mtext>Na</mml:mtext></mml:mrow></mml:math>or PtNa","year":2008,"lang":"lv","type":"article","venue":"Research Letters in Materials Science","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Algorithm; Hydrolysis; Materials science; Chemistry; Computer science; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.008103912,0.001444352,0.001018771,0.001480642,0.002718611,0.002441833,0.005966168,0.002540184,0.3934622],"category_scores_gemma":[0.006999219,0.002234229,0.001705121,0.003754645,0.008879962,0.003053879,0.003847311,0.001975265,0.00364754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001258546,"about_ca_system_score_gemma":0.004013409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005879648,"about_ca_topic_score_gemma":0.001087665,"domain_scores_codex":[0.97978,0.001268367,0.004023351,0.003411973,0.006516023,0.005000249],"domain_scores_gemma":[0.9854265,0.004108022,0.003321517,0.004897183,0.0005242881,0.001722513],"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":[0.003279419,0.0008962392,0.00004976545,0.002924877,0.001170928,0.002143941,0.002538277,0.0007811927,0.8180817,0.04879886,0.1178038,0.00153093],"study_design_scores_gemma":[0.002030156,0.001380005,0.0002321526,0.002440769,0.0009266036,0.001602494,0.002244429,0.01229848,0.9729622,0.00006328202,0.001844021,0.001975439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8950495,0.0009132549,0.0001475709,0.001619427,0.002421714,0.0001547694,0.0009889052,0.0002489705,0.09845585],"genre_scores_gemma":[0.9894292,0.002234318,0.00175237,0.0009249285,0.001544029,0.00190979,0.0005011936,0.0008785991,0.0008255854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3898146,"threshold_uncertainty_score":0.9998306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0320656130522309,"score_gpt":0.2812508764520734,"score_spread":0.2491852633998425,"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."}}