{"id":"W2095458047","doi":"10.1142/s0219878904000136","title":"MEMS FOR CELLULAR FORCE MEASUREMENTS AND MOLECULAR DETECTION","year":2004,"lang":"en","type":"article","venue":"International Journal of Information Acquisition","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Microelectromechanical systems; Sample (material); Nanotechnology; Materials science; Chemistry","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":[0.0006893664,0.0008083751,0.00102026,0.001129527,0.0005623073,0.0008569974,0.0008834818,0.001202658,0.006688953],"category_scores_gemma":[0.0008920031,0.0003858393,0.0004286428,0.001272101,0.0007919857,0.001267699,0.001054885,0.001391795,0.003325981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005081723,"about_ca_system_score_gemma":0.0004085034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003327026,"about_ca_topic_score_gemma":0.0007564851,"domain_scores_codex":[0.9990892,0.0001315692,0.0000476945,0.0001234605,0.0005603593,0.00004772257],"domain_scores_gemma":[0.9995808,0.0001850941,0.00005192843,0.00006109731,0.0001012365,0.00001980936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001649978,0.00006295165,0.0008161912,0.002684154,0.00007952516,0.0004298864,0.0002431881,0.0009793263,0.4214513,0.1030639,0.02227112,0.4477534],"study_design_scores_gemma":[0.00003671518,0.0004280792,0.001992053,0.000402451,0.00009749616,0.002005821,0.0001401463,0.008162938,0.2718063,0.025448,0.6893691,0.0001110543],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01943181,0.3863974,0.5088732,0.005887382,0.00595056,0.0004411475,0.001050949,0.002609921,0.06935763],"genre_scores_gemma":[0.1809267,0.2248692,0.5301514,0.002188984,0.003807257,0.0008756135,0.0007508359,0.0002877467,0.05614237],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006688953,"threshold_uncertainty_score":0.02237678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006997648852811966,"score_gpt":0.2643611560034463,"score_spread":0.2573635071506343,"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."}}