{"id":"W6957869154","doi":"10.60692/nze68-w4a67","title":"MusMorph, a database of standardized mouse morphology data for morphometric meta-analyses","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Alberta Children's Hospital; University of Alberta; Alberta Bone and Joint Health Institute; University of Calgary","funders":"","keywords":"Workflow; Pipeline (software); Scripting language; Visualization; Key (lock); Segmentation; Phenotype","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":[0.003140227,0.002286891,0.001930343,0.00768852,0.001001174,0.00241244,0.003641377,0.00145343,0.0226284],"category_scores_gemma":[0.006490523,0.001562126,0.001969187,0.004594535,0.0005459503,0.001899931,0.003590553,0.002044035,0.01633714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007994777,"about_ca_system_score_gemma":0.002325676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002726744,"about_ca_topic_score_gemma":0.009434298,"domain_scores_codex":[0.9979525,0.0002173484,0.0003118828,0.0006379264,0.0007628349,0.000117508],"domain_scores_gemma":[0.9973459,0.0006713746,0.0004956748,0.0008960263,0.0003647857,0.0002263596],"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":[0.001175386,0.0002881491,0.0309434,0.00920345,0.002591522,0.001126991,0.0008993557,0.007714855,0.09127058,0.01496889,0.7040324,0.1357851],"study_design_scores_gemma":[0.0004663625,0.0003269032,0.05155285,0.001101008,0.001453044,0.002129581,0.0002861522,0.009879413,0.03912377,0.0196763,0.8735977,0.0004068827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01161504,0.001502892,0.06754498,0.0002171678,0.0001982156,0.0002976903,0.8486577,0.06428737,0.005678986],"genre_scores_gemma":[0.01746792,0.001015109,0.0805851,0.0002737612,0.00005002498,0.002042631,0.8837463,0.01218411,0.002635033],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0226284,"threshold_uncertainty_score":0.07569951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1345668293951017,"score_gpt":0.3237740689380391,"score_spread":0.1892072395429374,"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."}}