{"id":"W2055766592","doi":"10.1117/12.474405","title":"Applications of magnetically shaped liquid optical surfaces","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Ferrofluid; Materials science; Optics; Magnetic field; Interferometry; Actuator; Superparamagnetism; Adaptive optics; Nanotechnology; Optoelectronics; Physics; Computer science; Magnetization","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":[0.0002896332,0.0003313958,0.0002548076,0.0003377034,0.0004596087,0.0006422385,0.0005506586,0.000632686,0.002458821],"category_scores_gemma":[0.0004940588,0.0001643426,0.00028139,0.0001532228,0.0005385094,0.0005917185,0.0005549997,0.0003706895,0.0007584695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003728242,"about_ca_system_score_gemma":0.0001659185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003415043,"about_ca_topic_score_gemma":0.0004266274,"domain_scores_codex":[0.9997532,0.00003979588,0.00001077906,0.00004255093,0.0001109538,0.0000427482],"domain_scores_gemma":[0.9997113,0.0001083296,0.0000404957,0.00003417454,0.00007396131,0.0000315608],"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":[0.00007015087,0.00003966451,0.0002288878,0.0001373366,0.000006357176,0.0001795799,0.00011875,0.00052815,0.9829935,0.00166471,0.0002276255,0.01380532],"study_design_scores_gemma":[0.00001507282,0.0003052489,0.0003349045,0.00001403187,0.000009640252,0.000393167,0.00007429526,0.001764074,0.9817719,0.0003427384,0.01496127,0.00001363027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8094139,0.02423943,0.1094526,0.00270666,0.000747492,0.0003279839,0.0001690429,0.001198089,0.05174489],"genre_scores_gemma":[0.94796,0.003627453,0.03954737,0.0003586349,0.0001058541,0.00007135677,0.0001265008,0.00008353582,0.008119218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002458821,"threshold_uncertainty_score":0.00822556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008104350851332718,"score_gpt":0.2136810800314149,"score_spread":0.2055767291800822,"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."}}