{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003199308,0.005035337,0.004924863,0.004800814,0.002382842,0.005318167,0.006975997,0.004301338,0.1243244],"category_scores_gemma":[0.008118685,0.001757641,0.002058578,0.006613911,0.0005397195,0.002435065,0.002609573,0.004213234,0.1906866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00312604,"about_ca_system_score_gemma":0.0035355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009225405,"about_ca_topic_score_gemma":0.01908609,"domain_scores_codex":[0.9971872,0.0003128154,0.0003105412,0.00114462,0.0006579413,0.0003869004],"domain_scores_gemma":[0.99747,0.0006870547,0.0002195846,0.000813631,0.0005845138,0.0002250875],"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":[0.0001601706,0.00004557315,0.0009811658,0.001807265,0.0000692761,0.00002225082,0.00003170191,0.0005844043,0.001660156,0.0005198313,0.9877214,0.006396925],"study_design_scores_gemma":[0.000536714,0.00006685795,0.003589957,0.0003772281,0.0001528366,0.0001291693,0.00005158957,0.001057075,0.005786084,0.004105974,0.9840576,0.00008877458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002527085,0.0002833185,0.0006877875,0.00007993569,0.00005149536,0.00006947225,0.9934062,0.003282927,0.001886146],"genre_scores_gemma":[0.0005222321,0.0001479007,0.001700462,0.0001678736,0.00001332188,0.000621622,0.9949577,0.0006387937,0.00122999],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1243244,"threshold_uncertainty_score":0.4159067,"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."}}