{"id":"W3128156827","doi":"10.1002/biot.202100076","title":"Designing microfluidic devices for behavioral screening of multiple zebrafish larvae","year":2021,"lang":"en","type":"article","venue":"Biotechnology Journal","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Trillium Foundation","keywords":"Microfluidics; Zebrafish; Throughput; Computer science; Ichthyoplankton; Larva; Biology; Biomedical engineering; Nanotechnology; Materials science; Engineering; Ecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005951177,0.0007157251,0.0003008039,0.0003156135,0.0002990809,0.0003407019,0.0006998692,0.0006375205,0.000663346],"category_scores_gemma":[0.0006946612,0.0003428295,0.0004219563,0.0001313002,0.0003568504,0.0004572551,0.0004926557,0.0004882325,0.000318516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005406551,"about_ca_system_score_gemma":0.0005828814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003590118,"about_ca_topic_score_gemma":0.0009122347,"domain_scores_codex":[0.9997929,0.00002186373,0.00002685532,0.00005311408,0.00006764793,0.00003765347],"domain_scores_gemma":[0.9997279,0.00009298602,0.0000685783,0.00002017079,0.00006448378,0.00002588606],"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":[0.00002753664,0.00003956807,0.0008370496,0.0002298061,0.00001851194,0.00008084674,0.00003280446,0.002625586,0.9876009,0.000651321,0.0002965885,0.00755943],"study_design_scores_gemma":[0.00004834868,0.0004430088,0.002506514,0.00005139959,0.00005297524,0.0002098889,0.00003371244,0.02319001,0.9635662,0.0004103807,0.009436638,0.00005090917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4800981,0.00306811,0.5077664,0.0007986536,0.0004295802,0.001740157,0.001166128,0.001124326,0.003808563],"genre_scores_gemma":[0.4745444,0.001562041,0.5193187,0.0002824783,0.00005204674,0.001608174,0.0005486183,0.00006433611,0.002019227],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0007157251,"threshold_uncertainty_score":0.00392276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03027587614278247,"score_gpt":0.3159087622131382,"score_spread":0.2856328860703557,"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."}}