{"id":"W6922929897","doi":"10.1371/journal.pone.0008489.t003","title":"Flow cytometry detector settings.","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flow cytometry; Detector; Flow (mathematics); Fluorescence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000577029,0.0001818759,0.0001556562,0.0001571912,0.00004322343,0.0002110889,0.00133304,0.0001640587,0.01834311],"category_scores_gemma":[0.001032824,0.0001825036,0.00005669549,0.0003428083,0.000001414981,0.0001449457,0.0004601978,0.0002963539,0.008070502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009005621,"about_ca_system_score_gemma":0.0002696228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003211471,"about_ca_topic_score_gemma":0.000002160999,"domain_scores_codex":[0.998961,0.00001038264,0.0001392892,0.0003058649,0.0003512044,0.0002322537],"domain_scores_gemma":[0.9988382,0.00008523632,0.000077802,0.0006689434,0.0001684935,0.0001613061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[1.023697e-7,0.000008218335,2.945768e-8,0.0001573512,0.000007941993,0.00001051612,0.000006665535,0.0006698274,2.752893e-7,0.000002238454,0.9987347,0.0004021945],"study_design_scores_gemma":[0.00003397013,0.00001163781,0.00001058303,0.0005584336,0.000002815722,0.00001098035,7.288685e-7,0.01043468,0.000006214425,0.00001765944,0.9886935,0.0002187512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[3.662729e-8,0.0003238389,0.0001947743,0.00007178108,0.0005149507,0.00006674674,0.9986402,0.00008442009,0.000103217],"genre_scores_gemma":[0.000002094604,0.000002524559,0.006092116,0.0002128666,0.0005051215,0.00005419212,0.993045,0.00001141463,0.00007463119],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01027261,"threshold_uncertainty_score":0.9927018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03728219205171616,"score_gpt":0.2674053513628569,"score_spread":0.2301231593111407,"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."}}