{"id":"W4404600777","doi":"10.52601/bpr.2024.240009","title":"Non-invasive micro-test technology and applications","year":2024,"lang":"en","type":"article","venue":"Biophysics Reports","topic":"Integrated Circuits and Semiconductor Failure Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Beijing Forestry University; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; Purdue University; Chinese Academy of Sciences; Shanxi Medical University; Institute of Genetics; Jiangsu Normal University; Chinese Academy of Forestry; Institute of Biophysics, Chinese Academy of Sciences; Capital Medical University; Institute of Botany, Chinese Academy of Sciences; Capital Normal University; Jinan University; Peking University; China Agricultural University; University of Chicago","keywords":"Biochemical engineering; Test (biology); Computer science; Management science; Engineering; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002805609,0.0001164046,0.0001288017,0.0002063857,0.00004096407,0.00006518601,0.0000456799,0.00009495232,0.00001239429],"category_scores_gemma":[0.000006161806,0.0001058855,0.00005015031,0.0006921499,0.00004720048,0.00007034723,0.00001359493,0.0001414815,0.00004332692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003077818,"about_ca_system_score_gemma":0.00003075435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001008743,"about_ca_topic_score_gemma":0.000004682379,"domain_scores_codex":[0.9994184,0.00000107039,0.000171873,0.0002167622,0.00005694692,0.0001349901],"domain_scores_gemma":[0.999631,0.00002057871,0.00001777004,0.0002418707,0.00005242415,0.0000363139],"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":[7.218277e-8,0.00001072234,0.0006417941,0.00008339129,0.0001049432,0.0001966116,0.00006430037,0.00006007188,0.9862166,0.003075088,0.001395929,0.008150494],"study_design_scores_gemma":[0.00004336712,0.00002663361,0.0001430533,0.0001136234,0.0002040903,0.0005062641,0.000198726,0.002582095,0.8608588,0.01571149,0.1191381,0.0004737526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633539,0.005974776,0.01001012,0.0002194551,0.0006512736,0.0004458824,0.00004029647,0.001628713,0.01767558],"genre_scores_gemma":[0.999052,0.0001736784,0.0001348266,0.00001339595,0.0001533992,0.00006333019,0.00002379134,0.00002681811,0.0003587651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1253578,"threshold_uncertainty_score":0.4317887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004025823932626012,"score_gpt":0.1964350010521143,"score_spread":0.1924091771194883,"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."}}