{"id":"W4393576888","doi":"10.5281/zenodo.10204533","title":"Mechanistic insights into silver-gold nanoalloy formation by two-dimensional population balance modeling","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"Deutsche Forschungsgemeinschaft","keywords":"Balance (ability); Population; Nanotechnology; Materials science; Psychology; Sociology; Demography","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":[0.001673375,0.001264996,0.0009891154,0.002427518,0.0006008524,0.001497808,0.002483526,0.001613858,0.02041166],"category_scores_gemma":[0.004399037,0.0003662558,0.001412613,0.00294108,0.0002817081,0.0007594773,0.001156251,0.0009988253,0.01307265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307793,"about_ca_system_score_gemma":0.001448433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01313169,"about_ca_topic_score_gemma":0.02498739,"domain_scores_codex":[0.9992803,0.0001770416,0.0001018433,0.0002182936,0.0001498387,0.00007266327],"domain_scores_gemma":[0.9984036,0.0008078038,0.0001789239,0.0003102891,0.0002383313,0.00006116356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005461978,0.0001483763,0.01378414,0.006573014,0.0005517112,0.0002027007,0.00008832331,0.02789715,0.001833295,0.007814106,0.9203129,0.02024798],"study_design_scores_gemma":[0.0007739972,0.00008866261,0.0178428,0.0008491038,0.0002267201,0.0001493225,0.0001279277,0.02515884,0.002763126,0.01194516,0.9399831,0.00009116502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001753491,0.0003674926,0.0004653771,0.0001936828,0.00002660881,0.00002174977,0.9958689,0.000399787,0.0009028921],"genre_scores_gemma":[0.005282405,0.0003264759,0.001788085,0.00008676305,0.000009311367,0.0001621747,0.9916197,0.00007460309,0.0006504809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02041166,"threshold_uncertainty_score":0.06828374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02807399505056331,"score_gpt":0.2470998660621831,"score_spread":0.2190258710116198,"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."}}