{"id":"W2528483278","doi":"10.1101/079350","title":"Reproducibility and replicability of rodent phenotyping in preclinical studies","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Generalizability theory; Ethology; Psychology; Translational research; Affect (linguistics); Data science; Behavioural genetics; Computer science; Biology; Developmental psychology; Ecology; Biotechnology","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4285528,0.0008125869,0.001666551,0.003673305,0.001669766,0.005411405,0.003914547,0.002423675,0.002908171],"category_scores_gemma":[0.6520118,0.0008159038,0.002248603,0.003222887,0.009803451,0.00416055,0.005491181,0.003181547,0.001377841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001948721,"about_ca_system_score_gemma":0.00301202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001283887,"about_ca_topic_score_gemma":0.001613673,"domain_scores_codex":[0.5876291,0.3032991,0.02948381,0.02624887,0.05133149,0.002007647],"domain_scores_gemma":[0.240077,0.3907369,0.056097,0.2567543,0.05395099,0.002383737],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007993292,0.0009465922,0.4543977,0.008306812,0.01082336,0.002098197,0.02162842,0.01460852,0.03230106,0.07640869,0.02304859,0.3474388],"study_design_scores_gemma":[0.0009693051,0.007352131,0.4757285,0.008854005,0.006048817,0.003388078,0.004563962,0.02597309,0.05615419,0.2290849,0.1811733,0.0007096053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2969975,0.01589646,0.6202511,0.01352686,0.007174642,0.005472662,0.005345235,0.001817316,0.03351831],"genre_scores_gemma":[0.8984163,0.001452809,0.08506074,0.003313632,0.0009468062,0.00417686,0.002572017,0.001168152,0.002892734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5714473,"threshold_uncertainty_score":0.7046962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2016816992919437,"score_gpt":0.4022383301262143,"score_spread":0.2005566308342706,"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."}}