{"id":"W7010073198","doi":"","title":"Gold nanoparticles for catalytic and potential
\\nbiological applications.","year":2013,"lang":"en","type":"dissertation","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Laser-Ablation Synthesis of Nanoparticles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke","keywords":"Catalysis; Nanoparticle; Colloidal gold; Adsorption; Nanomaterials; Laser ablation synthesis in solution; Laser ablation; Carbon monoxide; Molecule","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002909193,0.0005320728,0.0003215199,0.0003557466,0.0003069531,0.0005265674,0.0005748322,0.001077688,0.006411383],"category_scores_gemma":[0.0002129152,0.0002470752,0.0003622986,0.0002942698,0.0003172982,0.0005695368,0.0005065444,0.0007526535,0.004607059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104006,"about_ca_system_score_gemma":0.0003490977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006742139,"about_ca_topic_score_gemma":0.001410759,"domain_scores_codex":[0.9997335,0.00003788908,0.00001816527,0.00006421816,0.0001086019,0.00003763953],"domain_scores_gemma":[0.9999317,0.00001064577,0.000009159156,0.000008707624,0.00002692537,0.00001285254],"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":[0.0001415075,0.00007881217,0.0001955112,0.001738527,0.00004425096,0.0003999814,0.00008275892,0.0005001227,0.7735389,0.02853731,0.04070077,0.1540415],"study_design_scores_gemma":[0.00002009634,0.0001768209,0.0004461459,0.0001043074,0.00002724154,0.0005060821,0.0000546418,0.001741658,0.5424172,0.003768694,0.4507092,0.00002788409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09446201,0.3788891,0.1441422,0.01351979,0.01640898,0.0007003911,0.002787142,0.002629531,0.3464609],"genre_scores_gemma":[0.5353731,0.08784346,0.1103148,0.005845827,0.0007491054,0.0006457181,0.003102827,0.0003107256,0.2558143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006411383,"threshold_uncertainty_score":0.02144819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04653922093544896,"score_gpt":0.2907299444903543,"score_spread":0.2441907235549053,"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."}}