{"id":"W2402059407","doi":"10.1038/ncomms11636","title":"Live single-cell laser tag","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre; Université Laval; Université de Montréal; Institut Universitaire en Santé Mentale de Québec; McGill University; Jewish General Hospital; Hôpital Maisonneuve-Rosemont","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fonds de Recherche du Québec - Santé; Genome Canada","keywords":"Single-cell analysis; Cell; Photobleaching; Cell biology; Computational biology; Chemistry; Biology; Fluorescence; Biochemistry; Physics","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":[0.0004897621,0.0006460503,0.000695592,0.000482504,0.0004672801,0.001034636,0.001239804,0.001939662,0.01737602],"category_scores_gemma":[0.0003829178,0.0003646643,0.000411643,0.0004274884,0.0004035739,0.0009735205,0.000860277,0.001458213,0.01935153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000718118,"about_ca_system_score_gemma":0.0004128916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000382857,"about_ca_topic_score_gemma":0.0007850594,"domain_scores_codex":[0.9993599,0.00004717999,0.00005137766,0.0002310834,0.0002412716,0.00006925063],"domain_scores_gemma":[0.9997129,0.00005887913,0.00003261456,0.00009654036,0.00006429662,0.00003468681],"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":[0.00009862104,0.00005235781,0.0001881599,0.0001737904,0.00001311663,0.0001304779,0.00004797384,0.0003169116,0.968436,0.003572572,0.00732122,0.01964883],"study_design_scores_gemma":[0.00003277516,0.0001241469,0.0005285009,0.0000255944,0.00001644308,0.000390785,0.00002437865,0.007189494,0.8742829,0.0009101243,0.1164427,0.00003220367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1123253,0.005430913,0.7487931,0.001977783,0.002824238,0.00114002,0.017767,0.01622206,0.09351958],"genre_scores_gemma":[0.3449503,0.004156771,0.4533002,0.002058697,0.0004552698,0.003232946,0.01986209,0.00140974,0.170574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01737602,"threshold_uncertainty_score":0.05812865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682804786018663,"score_gpt":0.2438216320744955,"score_spread":0.2269935842143088,"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."}}