{"id":"W1838959485","doi":"10.1002/2013jb010739","title":"Hysteresis and coercivity of hematite","year":2014,"lang":"en","type":"article","venue":"Journal of Geophysical Research Solid Earth","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":153,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Minnesota; W. M. Keck Foundation; Earth Sciences Division; National Science Foundation","keywords":"Coercivity; Remanence; Magnetocrystalline anisotropy; Materials science; Hematite; Condensed matter physics; Saturation (graph theory); Magnetic anisotropy; Hysteresis; Nucleation; Magnetization; Anisotropy; Nuclear magnetic resonance; Chemistry; Metallurgy; Magnetic field; Physics; Optics","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":[0.0009541322,0.0000912066,0.0002915286,0.00007672275,0.00007827977,0.00002036464,0.000166338,0.0000624871,0.0000126153],"category_scores_gemma":[0.0006071143,0.00007093677,0.00009744615,0.0001068019,0.0003078885,0.000007527123,0.0001711982,0.0002028731,0.000007392402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001765966,"about_ca_system_score_gemma":0.00004798096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004485539,"about_ca_topic_score_gemma":0.00004180023,"domain_scores_codex":[0.9986379,0.0002671829,0.0002677434,0.0001366359,0.0004342102,0.0002563322],"domain_scores_gemma":[0.9989476,0.0001581509,0.0001299863,0.000192745,0.0004271161,0.0001444285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003644751,0.000296425,0.01250019,0.0002745082,0.000143155,0.00001126429,0.0002688685,0.00001700563,0.9595665,0.0009713132,0.0043217,0.02126464],"study_design_scores_gemma":[0.001889379,0.01059989,0.7642102,0.0002172779,0.00004737784,0.00007332383,0.0002256528,0.0003510312,0.1907496,0.004239024,0.02711083,0.000286458],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971695,0.0008602067,0.0001628296,0.0002515072,0.00004484936,0.00006606022,0.000006260912,0.000001209195,0.00143761],"genre_scores_gemma":[0.9979864,0.0005920395,0.0004821322,0.00002692692,0.0003388567,0.000001543521,0.000001726904,0.000007427117,0.0005629204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7688169,"threshold_uncertainty_score":0.2892718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02261457359285125,"score_gpt":0.3203741402916741,"score_spread":0.2977595666988229,"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."}}