{"id":"W2085638547","doi":"10.1063/1.2969832","title":"Development of crystalline magnetic thin films for microlevitation","year":2008,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Magnetic Bearings and Levitation Dynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Remanence; Materials science; Magnetization; Fabrication; Coercivity; Levitation; Condensed matter physics; Magnet; Magnetic levitation; Magnetic anisotropy; Thin film; Nanotechnology; Magnetic field; Mechanical engineering; Physics","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":[0.00009415532,0.0002301986,0.0001313562,0.0001840645,0.0001796456,0.0002295516,0.000291038,0.0002438619,0.001262936],"category_scores_gemma":[0.0002156463,0.0002131884,0.0001073652,0.0001361779,0.000109775,0.0002197123,0.0001203774,0.0004150417,0.0005093727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002583774,"about_ca_system_score_gemma":0.0001541871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005393151,"about_ca_topic_score_gemma":0.001137359,"domain_scores_codex":[0.9999405,0.000004131011,0.000004182593,0.00001528573,0.00002758769,0.00000838124],"domain_scores_gemma":[0.9998846,0.00002751075,0.00002667494,0.00001113515,0.00003505191,0.00001504061],"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":[0.000005361633,0.000005695413,0.0000386218,0.00003602537,0.000001635953,0.00002911109,0.000009260114,0.00006645826,0.9979271,0.0001343535,0.00004915302,0.00169721],"study_design_scores_gemma":[0.000004441989,0.00003567828,0.000248123,0.000003635188,0.000002434371,0.00004949043,0.000009692633,0.000780504,0.9964846,0.00003093454,0.002348361,0.000002265944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9201091,0.003881447,0.05753007,0.0003856821,0.0002195453,0.0002367031,0.0007520167,0.0005756476,0.0163098],"genre_scores_gemma":[0.9183121,0.00267727,0.06989534,0.0001040689,0.00003621519,0.0001616148,0.0008652841,0.0001314518,0.007816713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001262936,"threshold_uncertainty_score":0.004224956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353760289104553,"score_gpt":0.2045977831864349,"score_spread":0.1910601802953894,"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."}}