{"id":"W1964068632","doi":"10.1063/1.1576914","title":"Integrated piezoresistive sensors for atomic force-guided scanning Hall probe microscopy","year":2003,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Piezoresistive effect; Hall effect sensor; Cantilever; Materials science; Magnetic force microscope; Optoelectronics; Scanning Hall probe microscope; Heterojunction; Non-contact atomic force microscopy; Resolution (logic); Semiconductor; Conductive atomic force microscopy; Hall effect; Displacement (psychology); Image resolution; Nanotechnology; Atomic force microscopy; Magnetic field; Magnetization; Optics; Electrical engineering; Physics; Scanning transmission electron microscopy; Magnet; Composite material; Transmission electron microscopy","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":[0.0004609876,0.0006046057,0.0005495748,0.0003513329,0.0001889221,0.0004571185,0.001290304,0.0007123951,0.001452138],"category_scores_gemma":[0.0004953551,0.0005081626,0.000254344,0.0002685553,0.0003599689,0.0009073763,0.0005420749,0.00108998,0.0007582591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003622629,"about_ca_system_score_gemma":0.0001848528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002844325,"about_ca_topic_score_gemma":0.0009485689,"domain_scores_codex":[0.9993201,0.00005407064,0.00002304856,0.000105893,0.0004309635,0.00006591345],"domain_scores_gemma":[0.9997256,0.0000636403,0.00003713444,0.0000416394,0.0001052649,0.00002661871],"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":[0.00005453545,0.00003135458,0.0001760466,0.00006948593,0.00001231691,0.0000449039,0.00001921971,0.0006694022,0.9826068,0.001059252,0.0004685926,0.01478804],"study_design_scores_gemma":[0.00003855881,0.0002097235,0.001067723,0.00001051246,0.00003762295,0.0003146204,0.00001970629,0.01895634,0.968066,0.0007494983,0.01048812,0.00004147588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2595628,0.01126088,0.7147745,0.0006078874,0.0007745742,0.0003277162,0.0007158853,0.003973535,0.008002155],"genre_scores_gemma":[0.5277881,0.002415429,0.4636249,0.0002461593,0.0002018348,0.0002159515,0.0004475933,0.00008765612,0.00497232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001452138,"threshold_uncertainty_score":0.004857898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362774314962915,"score_gpt":0.2687964788066191,"score_spread":0.2551687356569899,"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."}}