{"id":"W2166768027","doi":"10.1002/1521-4095(200009)12:18<1339::aid-adma1339>3.0.co;2-t","title":"Synthesis and Magnetic Tuning in Superparamagnetic Cobaltocene-Mesoporous Niobium Oxide Composites","year":2000,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Porphyrin and Phthalocyanine Chemistry","field":"Materials Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; University of Windsor","funders":"National Science Foundation","keywords":"Cobaltocene; Superparamagnetism; Materials science; Mesoporous material; Oxide; Paramagnetism; Niobium; Niobium oxide; Composite material; Chemical engineering; Nanotechnology; Magnetization; Condensed matter physics; Metallurgy; Metallocene; Polymerization; Organic chemistry; Polymer; Magnetic field; Catalysis","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":[0.00008514441,0.0002101057,0.0001754713,0.0001959168,0.0002572523,0.0002519243,0.0001242308,0.0002402923,0.0004992223],"category_scores_gemma":[0.0001430175,0.0001625298,0.0001112374,0.0001186929,0.0001810992,0.0001802965,0.0001254632,0.0003082146,0.0001764632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001957286,"about_ca_system_score_gemma":0.0001323165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005010634,"about_ca_topic_score_gemma":0.001763531,"domain_scores_codex":[0.9999013,0.000008661593,0.00000745627,0.00002359626,0.00003961319,0.00001940287],"domain_scores_gemma":[0.9999042,0.00001475382,0.00002313333,0.00001043862,0.00001649144,0.00003110939],"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":[0.00001311709,0.000005178315,0.00002242061,0.000008243739,6.721843e-7,0.00001495277,0.00000659103,0.00002149771,0.9996521,0.00002948334,0.000006212787,0.0002194149],"study_design_scores_gemma":[0.000005364879,0.00004408123,0.000696459,9.929055e-7,0.000004052899,0.00005428028,0.000007400102,0.0002847017,0.9982684,0.00001291613,0.0006192019,0.000002132884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958357,0.0005715467,0.001971552,0.00006184167,0.00002310949,0.00002008881,0.00007203912,0.00008291319,0.001361139],"genre_scores_gemma":[0.9960898,0.0003356454,0.00240089,0.00001804343,0.00001015055,0.00001243826,0.00007871725,0.00002462581,0.00102977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005010634,"threshold_uncertainty_score":0.001670063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006355782980243065,"score_gpt":0.2200092841209742,"score_spread":0.2136535011407312,"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."}}