{"id":"W2150240065","doi":"10.1109/icmens.2003.1222000","title":"Micromachined needles for microbiological sample and drug delivery system","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Surface micromachining; Sample (material); Materials science; Drug delivery; Plane (geometry); Biomedical engineering; Computer science; Nanotechnology; Engineering; Fabrication; Chemistry; Chromatography; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.00004350051,0.0001202272,0.0001429933,0.00003214414,0.00004346795,0.00001494002,0.00005868599,0.00005504582,0.000006041023],"category_scores_gemma":[0.00001649982,0.00009917489,0.00003629494,0.00004184582,0.00002797583,0.00004699751,0.00001771687,0.00005360984,0.00001163599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007386111,"about_ca_system_score_gemma":0.000004231712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004870994,"about_ca_topic_score_gemma":0.000018783,"domain_scores_codex":[0.9994919,0.000004177424,0.0001304532,0.0001377494,0.00002336209,0.0002123898],"domain_scores_gemma":[0.9996684,0.0001523384,0.00001047455,0.00009782326,0.0000160379,0.00005496273],"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":[0.00007247314,0.00004536125,0.0006348875,0.0006529433,0.0001721238,0.00001520727,0.001362086,0.09501372,0.8773553,0.01718785,0.00150922,0.005978832],"study_design_scores_gemma":[0.01603501,0.0005404595,0.005684675,0.0006071902,0.0002820422,0.0009014224,0.01399508,0.08005582,0.8280635,0.01292777,0.03649713,0.00440994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8952993,0.0003761631,0.102711,0.00003487129,0.0001305929,0.0002259257,0.0000471342,0.0005361015,0.0006389631],"genre_scores_gemma":[0.836975,0.00001482524,0.1628368,0.00003717867,0.00003663683,0.00001273658,0.00001509491,0.00002089387,0.00005079706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06012576,"threshold_uncertainty_score":0.4044234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007951509278927979,"score_gpt":0.1964557769032137,"score_spread":0.1885042676242857,"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."}}