{"id":"W3102133957","doi":"10.1002/cyto.b.21971","title":"Flow cytometric method transfer: Recommendations for best practice","year":2020,"lang":"en","type":"article","venue":"Cytometry Part B Clinical Cytometry","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Caprion (Canada)","funders":"","keywords":"Reliability (semiconductor); Computer science; Context (archaeology); Instrumentation (computer programming); Transfer (computing); Flow (mathematics); Reliability engineering; Risk analysis (engineering); Engineering; Medicine; Mathematics; Biology","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002431093,0.0005102962,0.0008519836,0.0004565245,0.0003104523,0.0001394811,0.0007901185,0.0007785693,0.0002219386],"category_scores_gemma":[0.01014161,0.0005205845,0.0008932459,0.003105602,0.0001894899,0.00004435455,0.0001580333,0.0007204851,0.000206138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004105169,"about_ca_system_score_gemma":0.0002215036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008216166,"about_ca_topic_score_gemma":0.000003833842,"domain_scores_codex":[0.9952369,0.0005960157,0.001540828,0.001407074,0.0004543548,0.0007648112],"domain_scores_gemma":[0.9956912,0.001934039,0.0002394736,0.0007481512,0.0005505861,0.000836515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009809693,0.009880788,0.0448919,0.0009668208,0.003760784,0.0000748914,0.0004705151,0.0005852008,0.2371645,0.0006581853,0.2345377,0.457199],"study_design_scores_gemma":[0.004014788,0.004160826,0.0004080619,0.00003607246,0.0004308086,0.00003292981,0.0002751929,0.002542487,0.03622601,0.00003692962,0.9509949,0.0008410062],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04419256,0.001685805,0.9377554,0.009869872,0.002170405,0.00112802,0.000839659,0.000161554,0.0021967],"genre_scores_gemma":[0.7391933,0.002873047,0.2305426,0.01925089,0.005451208,0.0001963899,0.001411989,0.0002289384,0.000851657],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7164572,"threshold_uncertainty_score":0.9997246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1394634317885384,"score_gpt":0.4216117050482773,"score_spread":0.2821482732597389,"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."}}