{"id":"W1972413832","doi":"10.1063/1.4752267","title":"Amorphous Slater-Pauling like behaviour in magnetic nanoparticles alloys synthesized in liquids","year":2012,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Laser-Ablation Synthesis of Nanoparticles","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Regroupement Québécois sur les Matériaux de Pointe","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; Ferromagnetism; Magnetization; Annealing (glass); Amorphous solid; Condensed matter physics; Amorphous metal; Nanoparticle; Crystallization; Saturation (graph theory); Magnetic nanoparticles; Metal; Nanotechnology; Metallurgy; Chemical engineering; Crystallography; Chemistry; Magnetic field; Alloy; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005304934,0.0002037074,0.0004041477,0.0001585338,0.00002408242,0.00004191815,0.0002091915,0.00008936998,0.00005432012],"category_scores_gemma":[0.00001623697,0.0001967895,0.00008582717,0.0003288394,0.00003477156,0.0004054559,0.00003235121,0.0002941587,0.00004951187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000127367,"about_ca_system_score_gemma":0.0000254205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006417996,"about_ca_topic_score_gemma":0.00001532925,"domain_scores_codex":[0.9983596,0.00003589988,0.0007202483,0.0001036196,0.0003139709,0.0004667142],"domain_scores_gemma":[0.9992934,0.0001865355,0.0001506229,0.0001825056,0.00003599891,0.0001509675],"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":[0.000135401,0.0004097377,0.02371968,0.00003506987,0.00002846726,0.00003084577,0.001422039,0.1889466,0.7798823,0.0001624551,0.0002224031,0.00500495],"study_design_scores_gemma":[0.001978539,0.00009327481,0.07164527,0.0001729683,0.00009241293,0.00003262131,0.000410767,0.01018377,0.9133881,0.0008055528,0.0006710865,0.0005256038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986233,0.0003337333,0.0001493473,0.00002585039,0.0001928272,0.0001324411,0.000001959809,0.00004852025,0.0004920675],"genre_scores_gemma":[0.9968604,0.00003629745,0.002730748,0.00004478542,0.0002489896,0.00001346889,5.878476e-7,0.00005465628,0.00001010831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1787629,"threshold_uncertainty_score":0.8024842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141771056804492,"score_gpt":0.2131335645790945,"score_spread":0.2017158540110496,"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."}}