{"id":"W4313445932","doi":"10.1007/978-1-0716-2914-7_21","title":"Laser-Assisted Single-Cell Labeling and Capture","year":2023,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Single-cell analysis; Photobleaching; Live cell imaging; Computational biology; Context (archaeology); Biology; Confocal microscopy; Confocal; Computer science; Population; ENCODE; Biological system; Cell; Nanotechnology; Cell biology; Fluorescence; Genetics; Materials science; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006928567,0.0002179385,0.0002623679,0.0001498672,0.00005679336,0.00001984786,0.0001943856,0.0004182887,0.000008084813],"category_scores_gemma":[0.0001983593,0.0002135264,0.00008576905,0.000322726,0.0001382014,0.000002049864,0.0001439238,0.0001973272,0.000006849945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000146327,"about_ca_system_score_gemma":0.00003296745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005180786,"about_ca_topic_score_gemma":0.00004914672,"domain_scores_codex":[0.9981387,0.0005740245,0.0002756161,0.0005494506,0.00005598281,0.0004062295],"domain_scores_gemma":[0.9994265,0.00006763419,0.00006177803,0.0003178091,0.0000431433,0.00008313194],"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":[0.00003065723,0.00006290244,0.002671429,0.00002160703,0.00002146273,0.00002646236,0.0000498751,0.00004604081,0.979788,0.00007975341,0.00006895635,0.01713287],"study_design_scores_gemma":[0.0009138107,0.0002595485,0.0005081962,0.00001335069,0.00001941598,0.00002153091,0.00007498356,0.0004986339,0.9854013,0.00068062,0.01129842,0.0003102159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6852973,0.001618379,0.3108633,0.0001928839,0.0003822665,0.0001904642,0.00001674342,0.00005684348,0.001381868],"genre_scores_gemma":[0.4054225,0.0003645656,0.5918152,0.001083792,0.0001190144,0.00004294896,0.0002904823,0.00007770213,0.000783696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.280952,"threshold_uncertainty_score":0.8707354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03084334621267924,"score_gpt":0.3361232830923872,"score_spread":0.3052799368797079,"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."}}