{"id":"W2310869438","doi":"10.1021/acs.jpcc.6b00699","title":"Inducing Ferromagnetic Behavior in Cu Nanoparticles and Thin Films through Nonstoichiometric Oxidation","year":2016,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Defence Research and Development Canada; University of Calgary","keywords":"Magnetism; Materials science; Ferromagnetism; Nanomaterials; Quartz crystal microbalance; Nanoparticle; Squid; Thin film; Quartz; Chemical engineering; Nanotechnology; Analytical Chemistry (journal); Condensed matter physics; Chemistry; Adsorption; Physical chemistry; Metallurgy; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001043628,0.0002572923,0.0001374728,0.0001560873,0.0001378325,0.0002025747,0.0001756377,0.000207117,0.0003550436],"category_scores_gemma":[0.0002166021,0.0002223816,0.0001341901,0.00009229185,0.0001978357,0.000136873,0.0001680857,0.0002556362,0.0001069574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002428024,"about_ca_system_score_gemma":0.000107367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007815838,"about_ca_topic_score_gemma":0.002138566,"domain_scores_codex":[0.9999033,0.0000129594,0.000007551109,0.0000218263,0.0000312597,0.0000231695],"domain_scores_gemma":[0.9998947,0.00002752552,0.00002863009,0.00001532837,0.00002227146,0.00001146343],"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":[0.00002363109,0.000004439613,0.00006571772,0.00002358708,0.000002381277,0.00002303286,0.00001391857,0.00003416698,0.9993768,0.00002954755,0.00001445288,0.0003883872],"study_design_scores_gemma":[0.000003378632,0.00005450252,0.0007771467,0.000001886603,0.00000377719,0.00002744137,0.00000916556,0.0003895304,0.9984297,0.00001211678,0.0002898258,0.000001593009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997261,0.0003621487,0.001313878,0.00002337661,0.00001217227,0.00001268757,0.0000478075,0.00004200681,0.0009248756],"genre_scores_gemma":[0.9974294,0.0002196395,0.001627179,0.0000154368,0.000004351633,0.00001473073,0.00005962696,0.00001356041,0.0006160557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007815838,"threshold_uncertainty_score":0.001761615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116375410520749,"score_gpt":0.2767064633430967,"score_spread":0.2655427092378892,"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."}}