{"id":"W6957583003","doi":"10.60692/9gsnt-k6q47","title":"MusMorph, a database of standardized mouse morphology data for morphometric meta-analyses","year":2021,"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":[0.004472711,0.002540745,0.002019578,0.008931064,0.001001236,0.002695496,0.004116078,0.001564412,0.02074364],"category_scores_gemma":[0.01065603,0.001798413,0.00213503,0.005567712,0.0006482793,0.002066003,0.004106869,0.002039156,0.0149254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008650685,"about_ca_system_score_gemma":0.002673002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002714152,"about_ca_topic_score_gemma":0.00857547,"domain_scores_codex":[0.9975433,0.0002930749,0.000418617,0.000804205,0.0008118136,0.0001289786],"domain_scores_gemma":[0.9959478,0.001179895,0.0006984685,0.001397137,0.0004863144,0.0002903969],"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":[0.001470044,0.000322735,0.03290954,0.01107242,0.003519114,0.001414167,0.0009256372,0.01067562,0.07430331,0.01810058,0.7087213,0.1365656],"study_design_scores_gemma":[0.0007348786,0.0003760322,0.05787675,0.001346683,0.001994662,0.002019372,0.0003422157,0.01395574,0.03838631,0.02624479,0.8562307,0.0004918304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01108427,0.00151849,0.06144831,0.0002359228,0.0001844305,0.0003153782,0.8449669,0.07618804,0.00405828],"genre_scores_gemma":[0.01923463,0.0009198512,0.08882923,0.0002517781,0.00005327472,0.002289448,0.874231,0.01244265,0.001748216],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02074364,"threshold_uncertainty_score":0.06939441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1402147553167734,"score_gpt":0.3307413475903939,"score_spread":0.1905265922736205,"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."}}