{"id":"W3137417265","doi":"10.1101/2021.03.19.436113","title":"CLEM <i>Site</i> , a software for automated phenotypic screens using light microscopy and FIB-SEM","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fibics (Canada)","funders":"","keywords":"Microscopy; Focused ion beam; Computer science; Resolution (logic); Software; Electron microscope; Automation; Workflow; Volume (thermodynamics); Computer vision; Scanning electron microscope; Tracking (education); Artificial intelligence; Materials science; Optics; Physics; Ion; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003772054,0.002478207,0.002291413,0.00308477,0.001291322,0.002610344,0.002787123,0.001385072,0.08901467],"category_scores_gemma":[0.004254016,0.001536319,0.001469285,0.001145383,0.0006999426,0.001834342,0.002181798,0.002673421,0.04158201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009109982,"about_ca_system_score_gemma":0.001450736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001383812,"about_ca_topic_score_gemma":0.00249467,"domain_scores_codex":[0.9986797,0.0002417818,0.0001524262,0.000237251,0.0005528422,0.0001359989],"domain_scores_gemma":[0.9981318,0.0008648326,0.0001320233,0.0004674637,0.0002731277,0.0001308167],"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":[0.0006870129,0.0002620393,0.002964303,0.00162726,0.0003399272,0.0008616024,0.0002690299,0.003061238,0.124756,0.01356456,0.7310311,0.1205759],"study_design_scores_gemma":[0.0008823588,0.0001467372,0.0101424,0.0004202605,0.0001279407,0.001881515,0.000127443,0.1062017,0.2946191,0.01670328,0.5683729,0.0003743395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.007329131,0.0004680719,0.4099464,0.0004584457,0.0003171156,0.0003815908,0.0393098,0.5273376,0.01445189],"genre_scores_gemma":[0.03862244,0.0006231911,0.7120329,0.0008300942,0.0001626218,0.002139017,0.0823845,0.1485868,0.01461836],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.08901467,"threshold_uncertainty_score":0.2977838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00898088551727036,"score_gpt":0.2754653184464441,"score_spread":0.2664844329291738,"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."}}