{"id":"W2982223312","doi":"10.2144/btn-2019-0067","title":"Single-cell Analysis for Drug Development Using Convex Lens-Induced Confinement Imaging","year":2019,"lang":"en","type":"article","venue":"BioTechniques","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Drug discovery; Single-cell analysis; Cell; Population; Cell growth; Live cell imaging; Cell biology; Biology; Computational biology; Biological system; Bioinformatics; Genetics; Medicine","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":[0.0004886975,0.0005034052,0.0004918309,0.0005969157,0.0003744999,0.0006756413,0.0005862397,0.0005830139,0.001858318],"category_scores_gemma":[0.0004253348,0.0002298247,0.0003468981,0.0004937012,0.000421214,0.000443702,0.0004816977,0.0008663821,0.001038833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008080509,"about_ca_system_score_gemma":0.000572573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002117884,"about_ca_topic_score_gemma":0.003956232,"domain_scores_codex":[0.9996412,0.00004789665,0.00002245017,0.00009019161,0.0001535695,0.00004476379],"domain_scores_gemma":[0.9994547,0.0001924057,0.00008966471,0.0000741503,0.0001348449,0.00005421098],"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":[0.00003302471,0.0000175226,0.0002035545,0.0000463952,0.000005447489,0.00004359669,0.00002466506,0.0002270717,0.9961146,0.0002659897,0.0001361035,0.002882046],"study_design_scores_gemma":[0.000006572574,0.00006367263,0.001983529,0.000005803314,0.000008140961,0.0001241155,0.00002725704,0.0120359,0.98321,0.0001457567,0.002372639,0.00001661451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3097831,0.002393343,0.6760835,0.0003625285,0.00008662854,0.0004569287,0.002380836,0.002451197,0.006001924],"genre_scores_gemma":[0.638917,0.002885908,0.3501759,0.0003428706,0.00004261685,0.0008199127,0.002032763,0.0002996053,0.004483337],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002117884,"threshold_uncertainty_score":0.006216705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01965267023926966,"score_gpt":0.2679658649665571,"score_spread":0.2483131947272874,"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."}}