{"id":"W2074409721","doi":"10.1051/0004-6361:20053880","title":"Large magnetic liquid mirrors","year":2006,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Physics; Monte Carlo method; Interferometry; Astrophysics; Work (physics); Ferrofluid; Optics; Computational physics; Surface (topology); Statistical physics; Magnetic field; Geometry","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":[0.0002444096,0.0003787249,0.0003369297,0.0001930081,0.0002766425,0.0005847812,0.000806666,0.0005804805,0.001363798],"category_scores_gemma":[0.0006378301,0.0002124727,0.0002996309,0.00008226126,0.0005899376,0.0008762467,0.0005426193,0.0003705565,0.0004348468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004335507,"about_ca_system_score_gemma":0.0002579553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002969939,"about_ca_topic_score_gemma":0.0003311615,"domain_scores_codex":[0.999746,0.00003631321,0.00001241742,0.00005258953,0.0001118897,0.00004081418],"domain_scores_gemma":[0.9995869,0.0001160359,0.00009431676,0.00008555431,0.00007110935,0.00004596781],"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":[0.0001926746,0.00006473786,0.0009742798,0.0001488451,0.00003186489,0.0004369758,0.00009987535,0.01077243,0.945601,0.01938689,0.0009399809,0.02135045],"study_design_scores_gemma":[0.00008497742,0.0006815757,0.001212332,0.00001774151,0.00003072892,0.0009967561,0.00005047067,0.1406814,0.8344803,0.00421654,0.0174803,0.00006694847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7149886,0.001632422,0.2623596,0.0005640745,0.0002521971,0.0002183081,0.0001539894,0.001953555,0.0178772],"genre_scores_gemma":[0.9349644,0.0002081955,0.06163883,0.00008299549,0.00004132719,0.00007321757,0.00004761224,0.00005455199,0.002888887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001363798,"threshold_uncertainty_score":0.004562318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004016145386867781,"score_gpt":0.1768552340940695,"score_spread":0.1728390887072017,"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."}}