{"id":"W4405010257","doi":"10.1007/s11259-024-10613-8","title":"Correction to: Tracking puppy development: automated analysis and qualitative behavioral assessment in repeated open field tests","year":2024,"lang":"en","type":"erratum","venue":"Veterinary Research Communications","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Puppy; Field (mathematics); Tracking (education); Computer science; Open field; Psychology; Applied psychology; Artificial intelligence; Physical medicine and rehabilitation; Data science; Medicine; Mathematics; Biology; Psychiatry; Pedagogy","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","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003403178,0.0004500833,0.0008469218,0.002329943,0.001226585,0.0008050001,0.002315934,0.0003686952,0.0001759813],"category_scores_gemma":[0.000522253,0.0004661642,0.0001520136,0.004025215,0.0002887458,0.0003872556,0.008272515,0.003781867,0.0001002121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009119054,"about_ca_system_score_gemma":0.0006736473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01041516,"about_ca_topic_score_gemma":0.009243445,"domain_scores_codex":[0.9938704,0.002762509,0.0009548329,0.0009769932,0.0007407612,0.0006945127],"domain_scores_gemma":[0.9953797,0.001544059,0.0001651558,0.002028098,0.0006738703,0.0002090946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007813197,0.001939669,0.009751304,0.000452407,0.001831041,0.001227979,0.07345147,0.000002423821,0.003715318,0.0002448157,0.8818128,0.02478948],"study_design_scores_gemma":[0.0005162039,0.007622753,0.6911376,0.002754147,0.0007026929,0.0001692756,0.02532164,0.003121639,0.00001939676,0.0001147496,0.2671657,0.001354218],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6564327,0.01015143,0.0003013808,0.01637422,0.01385286,0.01245676,0.001577766,0.00325524,0.2855977],"genre_scores_gemma":[0.9578663,0.0008851698,0.00438994,0.00003752086,0.00005861293,0.002163985,0.001959845,0.00009256207,0.0325461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6813863,"threshold_uncertainty_score":0.999779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4841844736718914,"score_gpt":0.6224353801217117,"score_spread":0.1382509064498204,"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."}}