{"id":"W3136376466","doi":"10.1039/d1lc90030g","title":"<i>Lab on a Chip</i> – past, present, and future","year":2021,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"State (computer science); Engineering; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.00005334289,0.0001177813,0.0001137069,0.00003096979,0.00005153289,0.00004076968,0.0001177928,0.00008385002,0.0001068503],"category_scores_gemma":[0.000004254037,0.000112938,0.00003947882,0.000162912,0.00001203402,0.00002311991,0.00005207275,0.0002573115,0.00005664842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001255494,"about_ca_system_score_gemma":0.000007611241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001797103,"about_ca_topic_score_gemma":0.000008762406,"domain_scores_codex":[0.9994339,0.00005938397,0.00009960887,0.0001441794,0.0001091247,0.0001537822],"domain_scores_gemma":[0.9993405,0.00003729902,0.00001502191,0.0005153157,0.00001555371,0.00007628558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002264144,0.0007193016,0.00165806,0.0004329145,0.0005141685,0.0003724116,0.002800243,0.0104205,0.02599099,0.06064322,0.4796516,0.4165702],"study_design_scores_gemma":[0.0005251429,0.0000344097,0.002970095,0.00005172126,0.000009537611,0.00001345103,0.00003053214,0.00442568,0.004724571,0.0001418027,0.986896,0.0001770425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3920113,0.01969568,0.001308623,0.02416841,0.001711906,0.0006332646,0.0000474189,0.001125813,0.5592976],"genre_scores_gemma":[0.9910516,0.001842194,0.0008157452,0.002692004,0.00138767,0.00002807485,0.00006415716,0.00005908676,0.002059511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5990403,"threshold_uncertainty_score":0.4605477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008909787051547238,"score_gpt":0.2112137006364838,"score_spread":0.2023039135849365,"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."}}