{"id":"W3111438586","doi":"10.1101/2020.12.08.417014","title":"Quantitative 3D Imaging of the Cranial Microvascular Environment at Single-Cell Resolution","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Skull; Progenitor cell; Biology; High resolution; Anatomy; Phenotype; Neuroscience; Pathology; Cell biology; Stem cell; Medicine","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"],"consensus_categories":[],"category_scores_codex":[0.0002751127,0.0004683742,0.0004181105,0.00005663069,0.0001748411,0.00005089652,0.0006325736,0.0003869415,0.00001850357],"category_scores_gemma":[0.00009054218,0.0004420484,0.0003964256,0.0001302471,0.0002874962,0.000006452752,0.0008396832,0.000407528,0.00001957085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001758493,"about_ca_system_score_gemma":0.0002234319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005508791,"about_ca_topic_score_gemma":0.00000442737,"domain_scores_codex":[0.9976044,0.0002152355,0.0005083791,0.0009463934,0.0003408939,0.0003846505],"domain_scores_gemma":[0.9981241,0.00001817087,0.0004356747,0.001132816,0.0001524035,0.0001368497],"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":[0.0001450001,0.000192985,0.004320404,0.0002256765,0.0001302156,0.000006770727,0.00001671856,0.0003982856,0.9942883,0.00002458338,0.0002497739,0.000001344222],"study_design_scores_gemma":[0.0006666623,0.0001274106,0.007305882,0.0001163193,0.0001701188,2.976767e-8,0.000003526313,0.0006855755,0.9818719,0.000001135286,0.008563804,0.0004876094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849217,0.003633559,0.009452703,0.0002545835,0.0008500737,0.0006003964,0.000224045,0.00004094333,0.00002197941],"genre_scores_gemma":[0.9912522,0.0003701553,0.007687396,0.0002231713,0.0003046256,0.00003697396,0.000002933485,0.000112124,0.00001046447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01241632,"threshold_uncertainty_score":0.9998031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465866071429312,"score_gpt":0.1936608107839558,"score_spread":0.1790021500696627,"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."}}