{"id":"W2031248758","doi":"10.1016/j.mimet.2007.04.012","title":"Microbial preparation of metal-substituted magnetite nanoparticles","year":2007,"lang":"en","type":"article","venue":"Journal of Microbiological Methods","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Magnetite; Crystallinity; Akaganéite; Metal; Materials science; Nanoparticle; Dopant; Chemical engineering; Nuclear chemistry; Inorganic chemistry; Nanotechnology; Metallurgy; Chemistry; Doping; Organic chemistry; Goethite","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":[0.0001971049,0.0003186982,0.0002565983,0.000160667,0.0001617156,0.0003749992,0.0002476556,0.000312832,0.0004546032],"category_scores_gemma":[0.0002506425,0.0001747853,0.0002219941,0.0001847633,0.0001335539,0.0001530506,0.0002485673,0.0005702858,0.0002786846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003010816,"about_ca_system_score_gemma":0.0001632048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00061889,"about_ca_topic_score_gemma":0.001331262,"domain_scores_codex":[0.9998385,0.00002386175,0.00001648665,0.00003144421,0.00005968542,0.00003006047],"domain_scores_gemma":[0.9999331,0.00001674952,0.00001147686,0.00001014842,0.00001785992,0.00001066152],"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":[0.00002364066,0.00001320576,0.00003996241,0.0000183234,0.000003455556,0.0000131273,0.000007193539,0.00004747066,0.9989972,0.00005244035,0.00001452608,0.0007694884],"study_design_scores_gemma":[0.000002875648,0.0000448034,0.0001724896,0.000001488777,0.000003426961,0.00001630179,0.000005332104,0.0002663514,0.9989849,0.00001256029,0.000488158,0.000001312551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832495,0.0009680318,0.01276835,0.0001365948,0.0001033723,0.00008447724,0.0003729603,0.0001406755,0.00217608],"genre_scores_gemma":[0.9869837,0.000515379,0.00949721,0.00002451207,0.00001201909,0.0000367705,0.000462374,0.00003236989,0.002435717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00061889,"threshold_uncertainty_score":0.00218451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02172156398931416,"score_gpt":0.3419127590582871,"score_spread":0.320191195068973,"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."}}