{"id":"W2966773724","doi":"10.1017/s1431927619007670","title":"Workflow Automation and Portability Enable High Throughput Image Processing and Segmentation for Cell Biology Systems","year":2019,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Object Research Systems (Canada)","funders":"","keywords":"Workflow; Software portability; Object (grammar); Automation; Computer science; Library science; Throughput; Metadata; World Wide Web; Artificial intelligence; Engineering; Telecommunications; Database","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":[0.0003132956,0.0001682044,0.0002847935,0.00008139591,0.0001252832,0.0001385626,0.00006054689,0.0001446716,0.000009811721],"category_scores_gemma":[0.00001506819,0.0001571517,0.00006126492,0.0001128898,0.0001061451,0.00002449459,0.00007547683,0.00004690706,0.000001155611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001597302,"about_ca_system_score_gemma":0.00002419026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000195774,"about_ca_topic_score_gemma":0.00002983994,"domain_scores_codex":[0.9989066,0.00005532138,0.0002659717,0.0005446891,0.00003954952,0.0001879016],"domain_scores_gemma":[0.9994299,0.00001752992,0.0001659132,0.0002311098,0.0001107668,0.00004473568],"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":[0.00003187411,0.00003034347,0.01105484,0.0002252114,0.00007205709,1.9374e-7,0.00006400181,0.000004133511,0.9845582,0.000004255593,0.0002400871,0.003714796],"study_design_scores_gemma":[0.0004867155,0.0001245461,0.0005991756,0.0000173743,0.0002854522,0.00000471777,0.0002086266,0.001519554,0.9942899,0.0001056363,0.002161381,0.0001968936],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9606253,0.005306827,0.03345954,0.00003488221,0.00001651182,0.0004098473,0.00002233608,0.00002133568,0.0001034381],"genre_scores_gemma":[0.9731486,0.0007878396,0.02482053,0.00007576265,0.00003833983,0.00004422073,0.0004801831,0.00001693652,0.0005875528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01252336,"threshold_uncertainty_score":0.6408463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004439499928945245,"score_gpt":0.2642255477321866,"score_spread":0.2597860478032414,"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."}}