{"id":"W3040573443","doi":"10.1039/d0lc00521e","title":"AI on a chip","year":2020,"lang":"en","type":"review","venue":"Lab on a Chip","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"Japan Society for the Promotion of Science; Nakatani Foundation for Advancement of Measuring Technologies in Biomedical Engineering; Ogasawara Foundation for the Promotion of Science and Engineering; Casio Science Promotion Foundation; Takeda Science Foundation; Konica Minolta Imaging Science Foundation","keywords":"Chip; Lab-on-a-chip; Engineering; Computer science; Embedded system; Nanotechnology; Artificial intelligence; Manufacturing engineering; Materials science; Electrical engineering; Microfluidics","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":[0.0006921738,0.0009443833,0.0007694792,0.0007369242,0.0007734663,0.00340061,0.002530107,0.002041168,0.07966349],"category_scores_gemma":[0.002408955,0.0005015521,0.0007544667,0.0006452297,0.0009224311,0.002971606,0.002188329,0.002662891,0.04034396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008384802,"about_ca_system_score_gemma":0.001226859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001643518,"about_ca_topic_score_gemma":0.001534192,"domain_scores_codex":[0.9990387,0.0001565616,0.00005230208,0.0002206513,0.0004110966,0.0001207714],"domain_scores_gemma":[0.9988524,0.0002647842,0.0000532192,0.0003351466,0.0003707988,0.0001236539],"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":[0.000223224,0.0002307141,0.001029434,0.00108548,0.0001779709,0.0004960031,0.0002566723,0.014592,0.03453703,0.1533346,0.2860797,0.5079572],"study_design_scores_gemma":[0.0000621306,0.0001670978,0.0004683586,0.0001934118,0.00007337925,0.000404434,0.0001578426,0.04033987,0.008782604,0.104257,0.8450238,0.00007011747],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.01161086,0.01664825,0.3902183,0.02473128,0.01058066,0.0006121293,0.002459507,0.0155953,0.5275437],"genre_scores_gemma":[0.2589108,0.02282988,0.2977766,0.01960215,0.003629633,0.00160557,0.006538308,0.001754298,0.3873528],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.07966349,"threshold_uncertainty_score":0.2665009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01954043062476439,"score_gpt":0.3248757057831096,"score_spread":0.3053352751583452,"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."}}