{"id":"W2027057344","doi":"10.1109/sensor.2009.5285787","title":"Microfabricated multi-turn gradient coils for microscale flow imaging","year":2009,"lang":"en","type":"article","venue":"TRANSDUCERS 2009 - 2009 International Solid-State Sensors, Actuators and Microsystems Conference","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Microscale chemistry; Microfabrication; Materials science; Electromagnetic coil; Capillary action; Flow (mathematics); Image resolution; Nuclear magnetic resonance; Optics; Mechanics; Physics; Fabrication","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001530374,0.0003694237,0.0003554684,0.000180697,0.000159336,0.0002822218,0.0002972335,0.00008848561,0.00006554886],"category_scores_gemma":[0.00001499919,0.0003814425,0.0001188334,0.0001458004,0.00009586271,0.0002270963,0.00001625804,0.0001531879,0.00003064195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009372275,"about_ca_system_score_gemma":0.0000371314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003834138,"about_ca_topic_score_gemma":0.0000244584,"domain_scores_codex":[0.9982495,0.00002690945,0.0006208288,0.0004488578,0.0001776016,0.0004762845],"domain_scores_gemma":[0.9991594,0.0000488534,0.0001178096,0.000230287,0.0002263846,0.0002172733],"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":[0.00005016278,0.0001360734,0.0001744647,0.00006231758,0.00006970704,0.000005584418,0.001392438,0.0009584473,0.9505754,0.0002767687,0.00350823,0.04279044],"study_design_scores_gemma":[0.004797348,0.0001257734,0.008485097,0.0002702525,0.0001031547,0.0001393274,0.0004378703,0.3608447,0.5122583,0.000615023,0.1104861,0.001437095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8318075,0.0007692336,0.1618748,0.001482821,0.000744153,0.001003208,0.001606171,0.0003970955,0.0003150312],"genre_scores_gemma":[0.9937461,0.0006739517,0.004294597,0.0003072302,0.00009949584,0.00004135972,0.0002587958,0.00004348645,0.0005350113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4383171,"threshold_uncertainty_score":0.9998637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127637176305429,"score_gpt":0.2426126329350224,"score_spread":0.2313362611719681,"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."}}