{"id":"W4200586682","doi":"10.1088/1742-6596/2133/1/012004","title":"Synthesis of Different Nanoparticles for Biological Application","year":2021,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nanotechnology; Nanoparticle; Drug delivery; Disease treatment; Computer science; Materials science; Medicine; Intensive care medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0002083797,0.0001111865,0.0004425793,0.00002328783,0.00005598746,0.00004178786,0.0002248753,0.00004593028,0.00007246927],"category_scores_gemma":[0.0003551813,0.00008135555,0.0001287614,0.00009869516,0.0001714294,0.0003129287,0.00006421516,0.00003869979,0.000003754539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002417658,"about_ca_system_score_gemma":0.0001000369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.973233e-7,"about_ca_topic_score_gemma":0.000002011801,"domain_scores_codex":[0.9989477,0.0000729461,0.0005076134,0.0001434041,0.0001825761,0.000145725],"domain_scores_gemma":[0.9981646,0.0002838416,0.0006339892,0.0002008213,0.0006695581,0.00004717822],"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":[0.0001194567,0.0001133764,0.0001698191,0.00004696286,0.00001962186,0.000001568395,0.0001009318,0.00003518408,0.9612798,0.0185999,0.00001027665,0.01950308],"study_design_scores_gemma":[0.000142239,0.0001255105,0.0004055866,0.00004765104,0.00004887728,0.00001353613,0.0002753187,0.00001276989,0.9533153,0.04541474,0.0001131465,0.00008539106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271278,0.00006351664,0.07224769,0.0001901486,0.000204504,0.00007463818,0.00005656142,0.000009668543,0.00002546393],"genre_scores_gemma":[0.9882131,0.0000932039,0.0114788,0.00001360582,0.0001527514,0.00002386868,0.000004495829,0.000007903051,0.0000123203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06108524,"threshold_uncertainty_score":0.3317583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03411729079040853,"score_gpt":0.2795368474905433,"score_spread":0.2454195567001348,"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."}}