{"id":"W4401417991","doi":"10.1016/j.molstruc.2024.139555","title":"Biomass extract-mediated preparation of magnesium-doped nickel oxide nanoparticles and their in vitro bioactivities assessment","year":2024,"lang":"en","type":"article","venue":"Journal of Molecular Structure","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Non-blocking I/O; Nickel oxide; Chemistry; Nuclear chemistry; X-ray photoelectron spectroscopy; Nanoparticle; Magnesium; Nanotechnology; Oxide; Chemical engineering; Materials science; Organic chemistry","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":[0.0000999264,0.0002724269,0.0001722466,0.0001663986,0.0001271251,0.0001306488,0.000218579,0.0002425293,0.0005540536],"category_scores_gemma":[0.0001024423,0.0001053701,0.0002045471,0.0001431617,0.00008921175,0.0001216758,0.0001296679,0.0002231345,0.0001870734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001690819,"about_ca_system_score_gemma":0.000100842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007136358,"about_ca_topic_score_gemma":0.002380427,"domain_scores_codex":[0.9999377,0.00000656028,0.000007047697,0.0000154372,0.00002029536,0.00001307546],"domain_scores_gemma":[0.9999685,0.000006030287,0.00000932565,0.000003706029,0.000008439305,0.000003988537],"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":[0.00003158183,0.000008454319,0.00004239554,0.00002615919,0.000002543281,0.0000182421,0.000008575515,0.00004338909,0.9990419,0.00003006902,0.00001163631,0.0007350731],"study_design_scores_gemma":[0.000001400336,0.00005328781,0.0003295771,0.000001916998,0.000005949957,0.00002106439,0.00000734599,0.0002585033,0.99886,0.000007889075,0.0004513183,0.000001657119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911355,0.001236611,0.004678207,0.00004026526,0.000035117,0.00003416594,0.0002359215,0.00006231376,0.002541935],"genre_scores_gemma":[0.9930263,0.0005390225,0.003543245,0.0000200599,0.000004731638,0.00003243305,0.0002801468,0.0000108836,0.00254321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007136358,"threshold_uncertainty_score":0.001853526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00795887100656995,"score_gpt":0.2679963593069266,"score_spread":0.2600374883003566,"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."}}