{"id":"W2220928185","doi":"","title":"Mud, Sweat and Tears: Tales from a Country Vet","year":2010,"lang":"en","type":"article","venue":"PubMed Central","topic":"Spinal Dysraphism and Malformations","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stove; Ice cream; Graduation (instrument); Veterinary medicine; Art; History; Medicine; Engineering; Archaeology; Biology; Food science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008420351,0.00008362531,0.0001209782,0.00004523091,0.00005363585,0.00002984735,0.00004601407,0.00007413435,0.0001310358],"category_scores_gemma":[0.0001073052,0.00006960805,0.00003063528,0.00007124859,0.0000996423,0.0001396236,0.00002282158,0.0002041852,0.00002254777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001996115,"about_ca_system_score_gemma":0.00005019428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001897682,"about_ca_topic_score_gemma":0.0001779558,"domain_scores_codex":[0.9991277,0.000005939114,0.0001128811,0.0001251688,0.000133225,0.0004950304],"domain_scores_gemma":[0.9994115,0.00002101204,0.00002653947,0.0001579572,0.00001721128,0.0003657501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004408331,0.0004513117,0.8585973,0.0001489383,0.0002405063,0.0001446898,0.002615202,0.000001218537,0.02087288,0.01517131,0.02808189,0.07323391],"study_design_scores_gemma":[0.0008083394,0.00002212868,0.9167453,0.00001201311,0.00006458155,0.00005919062,0.0001125314,0.00007026389,0.0004428379,0.0002469726,0.08134069,0.00007513403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945711,0.0002379655,0.00003248345,0.0008270767,0.0006756602,0.0002492842,0.00008433569,0.00005898304,0.0032631],"genre_scores_gemma":[0.9975395,0.00009826945,0.0006788426,0.0006463639,0.0005775052,0.00004445847,0.0001014139,0.000009800185,0.0003038959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07315877,"threshold_uncertainty_score":0.2838534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008496440703672455,"score_gpt":0.2196160568229081,"score_spread":0.2111196161192357,"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."}}