{"id":"W2624319500","doi":"10.1016/j.biocel.2017.06.008","title":"Reproducibility in light microscopy: Maintenance, standards and SOPs","year":2017,"lang":"en","type":"review","venue":"The International Journal of Biochemistry & Cell Biology","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Standardization; Microscopy; Computer science; Reproducibility; Asset (computer security); Sample (material); Microscope; Medicine; Pathology; Statistics; Mathematics; Chemistry; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003275568,0.0003456159,0.0009633727,0.0001284456,0.00005969778,0.00008922153,0.001894918,0.0004632518,0.0000233295],"category_scores_gemma":[0.00134184,0.0002270046,0.0005147192,0.00005864225,0.0003726961,0.000006962017,0.000663359,0.0005460181,0.000001810649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000162568,"about_ca_system_score_gemma":0.000716978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002290432,"about_ca_topic_score_gemma":0.00001437632,"domain_scores_codex":[0.9974847,0.000170942,0.001000153,0.0008650136,0.0002404379,0.0002387482],"domain_scores_gemma":[0.9960082,0.00005235164,0.001600897,0.001647606,0.0006216222,0.00006933168],"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":[0.00025386,0.0002167086,0.0002046414,0.00117848,0.0009386524,0.0001209702,0.00003133018,4.542062e-7,0.4247814,0.000008876495,0.0241866,0.5480781],"study_design_scores_gemma":[0.0002229869,0.00007790288,0.000002583266,0.0007710028,0.000152205,0.0003018495,0.00001065172,4.398017e-7,0.1850243,0.00008614443,0.8131705,0.0001794434],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003327095,0.9930006,0.00005759648,0.0002810866,0.0002208901,0.0001654358,0.00008123444,0.000004454458,0.002861565],"genre_scores_gemma":[0.006614402,0.9907423,0.0002415706,0.00008942942,0.0007952586,0.00001071111,0.0001289717,0.00002776361,0.001349593],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7889839,"threshold_uncertainty_score":0.925698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967257119140757,"score_gpt":0.3761776264109416,"score_spread":0.356505055219534,"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."}}