{"id":"W4312180902","doi":"10.1083/jcb.202209127","title":"CLEM <i>Site</i> , a software for automated phenotypic screens using light microscopy and FIB-SEM","year":2022,"lang":"en","type":"article","venue":"The Journal of Cell Biology","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fibics (Canada)","funders":"Deutsche Forschungsgemeinschaft; European Molecular Biology Laboratory","keywords":"Microscopy; Software; Materials science; Computer science; Nanotechnology; Computer graphics (images); Optics; Physics; Operating system","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":[0.004135892,0.002603253,0.002549126,0.004316745,0.001408592,0.002426434,0.003419687,0.001938095,0.07988249],"category_scores_gemma":[0.005723038,0.001792465,0.002055241,0.001477385,0.0007143755,0.002226592,0.002538377,0.002921023,0.03409698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201198,"about_ca_system_score_gemma":0.001895466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002063503,"about_ca_topic_score_gemma":0.004079435,"domain_scores_codex":[0.9986394,0.0002435693,0.0001883948,0.000249906,0.0005495948,0.0001290345],"domain_scores_gemma":[0.9970138,0.001562514,0.0002396268,0.0005610264,0.0004337054,0.0001893104],"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":[0.0009371812,0.0002675867,0.004232094,0.003032422,0.0005362759,0.001073814,0.0003974238,0.002594194,0.1177959,0.009686893,0.695236,0.1642101],"study_design_scores_gemma":[0.001010115,0.000262287,0.01521271,0.0007228153,0.0002476714,0.002822457,0.0001510446,0.09162158,0.1762418,0.01190688,0.6992294,0.0005712059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.005897875,0.00100845,0.3511833,0.0004413982,0.0003478703,0.0006444061,0.04079545,0.5827794,0.01690189],"genre_scores_gemma":[0.02935649,0.001199977,0.7292053,0.001635858,0.0001623977,0.003623892,0.07109722,0.1490976,0.01462122],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.07988249,"threshold_uncertainty_score":0.2672336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00801356675953956,"score_gpt":0.273365001548429,"score_spread":0.2653514347888895,"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."}}