{"id":"W4318754007","doi":"10.1039/d2lc00878e","title":"3D-printed capillaric ELISA-on-a-chip with aliquoting","year":2023,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre","funders":"Université du Québec à Montréal; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University","keywords":"Pipette; Chromatography; Nitrocellulose; Capillary action; Chip; Substrate (aquarium); Chemistry; Detection limit; Conjugate; Microfluidics; Capillary electrophoresis; Pulmonary surfactant; Reagent; Nanotechnology; Materials science; Membrane; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000902742,0.0001475528,0.0001369308,0.0001199473,0.00006403715,0.00003688246,0.00007268164,0.0000806683,0.00006099318],"category_scores_gemma":[0.00003342531,0.000115638,0.00004315459,0.0005132136,0.00001802696,0.00002744554,0.00001425416,0.0002629197,0.0008197731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003617126,"about_ca_system_score_gemma":0.000004734735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000180403,"about_ca_topic_score_gemma":0.00002728865,"domain_scores_codex":[0.9992335,0.00001750058,0.0001237485,0.0001847167,0.0001671525,0.0002733816],"domain_scores_gemma":[0.9996291,0.00006596811,0.00001654175,0.0001913733,0.00001753703,0.0000794462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000899339,0.0005897849,0.01135719,0.001685016,0.001705323,0.001083414,0.003806661,0.4891202,0.2152348,0.05926394,0.02773492,0.1875194],"study_design_scores_gemma":[0.00217385,0.0009302548,0.0785594,0.0007285126,0.000113521,0.00004274332,0.0003318818,0.7841296,0.1006377,0.001163159,0.02967446,0.001514917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787325,0.00001699021,0.0001725591,0.0002537212,0.0002203837,0.00008646385,0.000006022808,0.0009669646,0.01954443],"genre_scores_gemma":[0.9984792,0.00002720276,0.0001061143,0.0002165605,0.0001574711,0.0000064222,0.000007157193,0.00004310911,0.000956749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2950095,"threshold_uncertainty_score":0.9999582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223828925837233,"score_gpt":0.2130509465623353,"score_spread":0.200812657303963,"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."}}