{"id":"W4256462839","doi":"10.1055/s-0037-1616594","title":"Eightieth birthday","year":2007,"lang":"en","type":"article","venue":"Veterinary and Comparative Orthopaedics and Traumatology","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0005332709,0.0001542699,0.0004186272,0.0001996939,0.0001763837,0.00001228525,0.00005250231,0.00008958864,0.00006376483],"category_scores_gemma":[0.00002236063,0.0001121921,0.00004379563,0.0002195249,0.0007704914,0.0000700352,0.00005847744,0.0002457504,0.000008857824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008515722,"about_ca_system_score_gemma":0.00005005638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001857716,"about_ca_topic_score_gemma":0.00001784164,"domain_scores_codex":[0.9988151,0.00004945278,0.0002434722,0.0003212434,0.000195451,0.0003752812],"domain_scores_gemma":[0.9991747,0.0001716456,0.00004839469,0.0001418035,0.00007205347,0.0003913737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005160726,0.0008512564,0.7218698,0.0006473197,0.000340286,0.006350956,0.01177311,4.660588e-7,0.01815275,0.1039417,0.001885076,0.1290265],"study_design_scores_gemma":[0.005142194,0.008141134,0.8001119,0.0001442715,0.00008402418,0.01615396,0.004810551,0.0004317894,0.001235158,0.0007579493,0.1626413,0.0003458044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799703,0.002718143,0.0006927596,0.000571757,0.000202956,0.0002073779,0.000002919043,0.00003629856,0.01559752],"genre_scores_gemma":[0.9974643,0.0008856006,0.0005627644,0.0005177511,0.00009952657,0.00000764268,0.000008918412,0.000006034721,0.0004474773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1607562,"threshold_uncertainty_score":0.4575061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1280093135362586,"score_gpt":0.3807623082357574,"score_spread":0.2527529946994987,"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."}}