{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005832323,0.0004618296,0.00107479,0.0001472669,0.00007797341,0.0000380113,0.0004420265,0.0003091843,0.00001285989],"category_scores_gemma":[0.01281189,0.0003982736,0.0001461257,0.0002059363,0.0005662946,0.0001273662,0.001595911,0.0007052394,0.000008678589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002404436,"about_ca_system_score_gemma":0.0001901768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001076129,"about_ca_topic_score_gemma":0.000004055664,"domain_scores_codex":[0.9942521,0.0005451841,0.001242041,0.0032541,0.0002944244,0.0004121032],"domain_scores_gemma":[0.9939181,0.0008190328,0.0007606173,0.003846437,0.0005174079,0.0001384134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006521278,0.0005399103,0.645138,0.002343299,0.0003057544,0.00007216475,0.0001207038,0.000005993518,0.3500765,0.0006642971,0.00003381068,0.00004739897],"study_design_scores_gemma":[0.0005279114,0.0002941647,0.9644197,0.002298783,0.00006637123,4.166525e-8,0.00001391298,0.0001474713,0.0313536,0.0002046002,0.0001091326,0.00056438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937357,0.004356813,0.0001195266,0.0002868967,0.0004635562,0.000671227,0.0001098713,0.0002383183,0.00001813125],"genre_scores_gemma":[0.9961352,0.00039094,0.002927238,0.00003288695,0.0003272374,0.0001214579,5.090577e-8,0.00006129982,0.000003680608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3192816,"threshold_uncertainty_score":0.9998469,"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."}}