{"id":"W2982395477","doi":"10.1016/j.snb.2019.127332","title":"High-throughput zebrafish intramuscular recording assay","year":2019,"lang":"en","type":"article","venue":"Sensors and Actuators B Chemical","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; National Research Foundation of Korea","keywords":"Zebrafish; Microfluidic chip; Microfluidics; Biology; Intramuscular injection; Throughput; Nanotechnology; Computer science; Medicine; Internal medicine; Genetics; Materials science; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0002713256,0.0001798427,0.0002013583,0.00004101186,0.00005889283,0.00004797428,0.0002053937,0.0002623363,0.0002271655],"category_scores_gemma":[0.0003825734,0.0001613784,0.00008833362,0.0001422994,0.0001854813,0.000007125142,0.0002159635,0.0002294454,0.0001111204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002347059,"about_ca_system_score_gemma":0.0000522875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003279043,"about_ca_topic_score_gemma":0.000001772404,"domain_scores_codex":[0.9985295,0.00004750742,0.0002085819,0.0005493621,0.0002612699,0.0004037805],"domain_scores_gemma":[0.999117,0.00006200764,0.00005093525,0.0004137983,0.00006098084,0.0002953307],"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":[0.00003602849,0.00005264832,0.0007443607,0.00002674619,0.00005250052,0.00000275403,0.0000147349,6.486086e-7,0.9729725,0.0006745145,0.006880841,0.0185418],"study_design_scores_gemma":[0.0007941295,0.0001359981,0.0006057482,0.00002208103,0.00001519768,0.00002686656,0.00006681546,0.0001695316,0.8083947,0.001081367,0.188323,0.0003645929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965437,0.00008705523,0.0008233328,0.00123389,0.00009923763,0.0002449023,0.00002188325,0.00002963993,0.0009163602],"genre_scores_gemma":[0.996053,0.0001050138,0.002376155,0.0004074612,0.000356922,0.00002140924,0.0001531201,0.00003233824,0.0004945894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1814422,"threshold_uncertainty_score":0.6580818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005562776862101926,"score_gpt":0.2437297311672133,"score_spread":0.2381669543051114,"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."}}