{"id":"W9451089","doi":"","title":"Technical Large Animal Emergency Rescue","year":2011,"lang":"en","type":"article","venue":"Canadian veterinary journal","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Search and rescue; Task (project management); Engineering; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002242986,0.0001305409,0.0001196082,0.00002091915,0.0004992012,0.0000255471,0.0003415615,0.000128843,0.007245755],"category_scores_gemma":[0.000008453256,0.000047497,0.0001277888,0.0002113967,0.00002522282,0.0001666964,0.00004155999,0.0003140057,0.0001350638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007801432,"about_ca_system_score_gemma":0.00003589149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005797636,"about_ca_topic_score_gemma":0.08222818,"domain_scores_codex":[0.9988861,0.00005864859,0.0002335896,0.0001707498,0.0001232626,0.0005276295],"domain_scores_gemma":[0.9991153,0.000007224697,0.00005089679,0.00004646608,0.00006539223,0.0007146837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004874804,0.000433627,0.06330002,0.00001234834,0.00008473193,0.006856937,0.001124652,2.648895e-7,0.741091,0.01032081,0.09695514,0.07933296],"study_design_scores_gemma":[0.00008673582,0.001150072,0.732681,0.000008516006,0.000009634779,0.003099869,0.0002973678,0.000001836048,0.00003808482,0.0004619592,0.261941,0.0002238629],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704561,0.000265227,0.00000653756,0.0005628818,0.0003589827,0.0000770792,0.00006159231,0.00003432704,0.02817723],"genre_scores_gemma":[0.998368,0.0001158512,0.0002613577,0.0002833797,0.0006386063,0.000003649675,0.00001509535,0.000001145554,0.0003129019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7410529,"threshold_uncertainty_score":0.9936618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.047090105775398,"score_gpt":0.2301028478693521,"score_spread":0.1830127420939541,"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."}}