{"id":"W3014687364","doi":"10.1038/s41596-020-0313-9","title":"Tutorial: guidance for quantitative confocal microscopy","year":2020,"lang":"en","type":"review","venue":"Nature Protocols","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":401,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University Health Network","funders":"Francis Crick Institute","keywords":"Confocal microscopy; Microscopy; Confocal; Computer science; Computational biology; Nanotechnology; Biology; Optics; Materials science; Physics; Cell biology","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000315468,0.0004982714,0.001330624,0.00006738518,0.00006457888,0.00009227378,0.0006806114,0.001591872,0.00001045558],"category_scores_gemma":[0.0007938985,0.0004198155,0.0009048046,0.0002080133,0.0000893103,0.00000374926,0.0001914457,0.0006925481,0.00001958045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004871101,"about_ca_system_score_gemma":0.0004707566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002156948,"about_ca_topic_score_gemma":0.000004948376,"domain_scores_codex":[0.9979421,0.0001559903,0.0005781846,0.0008657991,0.0001699334,0.000287971],"domain_scores_gemma":[0.9983867,0.000065658,0.0005021468,0.0006538454,0.0002990838,0.00009259852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003244672,0.0001403254,0.000001707643,0.025956,0.0009832293,0.00001946388,0.00001745345,1.051995e-7,0.02220643,0.001237216,0.4151201,0.5339935],"study_design_scores_gemma":[0.0002639831,0.0004846863,4.568178e-8,0.002664713,0.0002724219,0.000007172058,0.00000143969,0.000001784657,0.03014608,0.00006463335,0.9656693,0.0004237451],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[3.444128e-8,0.8839758,0.005093534,0.00002434072,0.00006138821,0.1100646,0.0001214768,0.00005231326,0.0006064761],"genre_scores_gemma":[1.889751e-7,0.6788015,0.02556848,0.0002448093,0.001053819,0.2927842,0.0007889083,0.0001037271,0.0006544219],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5505492,"threshold_uncertainty_score":0.9998254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03443722157121924,"score_gpt":0.4614982103708785,"score_spread":0.4270609887996593,"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."}}