{"id":"W2155721801","doi":"10.1002/cyto.a.22409","title":"Remote access technology offers tremendous possibilities to the cytometry community","year":2013,"lang":"en","type":"article","venue":"Cytometry Part A","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Computer science; Instrumentation (computer programming); Sample (material); Set (abstract data type); Cytometry; Resource (disambiguation); Flow cytometry; Medicine","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":[0.0003573121,0.0002424291,0.0002445713,0.0002918147,0.0003754251,0.0001473282,0.001153078,0.0002545652,0.0001325222],"category_scores_gemma":[0.0003527499,0.0001835987,0.0001217402,0.0009765511,0.0002384429,0.00001314593,0.0004241323,0.0003980208,0.0001532981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003782491,"about_ca_system_score_gemma":0.00006242272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005295894,"about_ca_topic_score_gemma":0.0001918319,"domain_scores_codex":[0.9985532,0.0001668579,0.0002984217,0.0003412472,0.0001816074,0.0004586644],"domain_scores_gemma":[0.9983698,0.00005738448,0.00007182588,0.001193642,0.0001668523,0.0001405238],"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":[0.0001467408,0.000286146,0.03882454,0.00007534803,0.0002012782,0.00000442322,0.0003604468,0.00004458169,0.9046038,0.00005058445,0.02243306,0.03296903],"study_design_scores_gemma":[0.001509464,0.001387859,0.03483146,0.00007272659,0.00007213504,0.00007280636,0.002535678,0.0001939966,0.7957739,0.001228494,0.1613362,0.0009852571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913238,0.0003514825,0.003087346,0.001390062,0.0004468319,0.0004817315,0.00003436124,0.00007592868,0.002808403],"genre_scores_gemma":[0.9957052,0.00006559286,0.0004742572,0.001582621,0.0002601018,0.00004588681,0.00005922939,0.0000365364,0.001770548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1389031,"threshold_uncertainty_score":0.7486938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03694859233922219,"score_gpt":0.2878789026135003,"score_spread":0.2509303102742781,"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."}}