{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001250789,0.0004561426,0.0009502763,0.0001041223,0.00004358217,0.00004985188,0.0004777547,0.0004323511,0.00007871755],"category_scores_gemma":[0.0001248324,0.0003697708,0.000750076,0.0002220423,0.00004043444,0.000001118556,0.0001685383,0.0004626375,0.0004195018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003221047,"about_ca_system_score_gemma":0.0001260159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005931624,"about_ca_topic_score_gemma":0.000007615936,"domain_scores_codex":[0.9983122,0.0001616419,0.0003466628,0.0007502799,0.0001814055,0.0002477869],"domain_scores_gemma":[0.998713,0.00002091277,0.0001980211,0.0009194795,0.00003223677,0.0001163654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002095945,0.0001069652,0.000001075257,0.001432207,0.0003074952,0.00005226035,0.000007032579,1.459345e-7,0.0005475335,0.0001907169,0.06359046,0.9337432],"study_design_scores_gemma":[0.00008985102,0.0003409819,7.113273e-7,0.001153529,0.0002983004,0.00001251137,8.396459e-7,0.000001346317,0.003635267,0.00003054607,0.9940724,0.0003637679],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001301743,0.9787338,0.00005933376,0.0001862768,0.00003674015,0.0004200133,0.00002855494,0.00007580745,0.02044641],"genre_scores_gemma":[0.0000894373,0.9919197,0.0001456611,0.003692579,0.0005977633,0.0001004082,0.0007519878,0.00009257365,0.002609905],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9333794,"threshold_uncertainty_score":0.9998754,"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."}}