{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.138974,0.003082833,0.002848005,0.01030477,0.003579912,0.01082636,0.01321581,0.01838722,0.02896417],"category_scores_gemma":[0.2408707,0.002865219,0.00494084,0.007278079,0.005487101,0.01024906,0.006147719,0.01383856,0.05064365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006870643,"about_ca_system_score_gemma":0.02949627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01046723,"about_ca_topic_score_gemma":0.01192377,"domain_scores_codex":[0.9020599,0.04211431,0.01266664,0.004164851,0.03600778,0.002986578],"domain_scores_gemma":[0.7404794,0.08293176,0.01361541,0.02283057,0.1334943,0.006648519],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002966565,0.0008215936,0.001677701,0.005369507,0.00009360348,0.0007245368,0.001209379,0.002250569,0.004322281,0.02038031,0.4838709,0.478983],"study_design_scores_gemma":[0.0002063145,0.0002979762,0.002235134,0.01490548,0.0001671769,0.0007229096,0.001207953,0.00230376,0.006720334,0.028177,0.9428129,0.0002430363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004026648,0.03984084,0.5338216,0.2523405,0.01602282,0.01828178,0.006318965,0.01939947,0.1099473],"genre_scores_gemma":[0.007994198,0.0291306,0.8610145,0.03765474,0.001811542,0.01562156,0.004455322,0.002971131,0.03934631],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.861026,"threshold_uncertainty_score":0.7349733,"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."}}