{"id":"W3216761157","doi":"10.53607/wrb.v37.127","title":"Irrigant selection for treating trauma wounds on injured wildlife patients","year":2021,"lang":"en","type":"article","venue":"Wildlife Rehabilitation Bulletin","topic":"Rabies epidemiology and control","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada","funders":"","keywords":"Medicine; Wildlife; Surgery; Wound infection; Intensive care medicine; Biology; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009570614,0.0002494022,0.0003290093,0.0006146845,0.0007536792,0.0008999204,0.000373509,0.0006837565,0.003475098],"category_scores_gemma":[0.003666113,0.0001234052,0.0003651043,0.0004717557,0.0004265322,0.000756151,0.0005922991,0.0008206731,0.0009453853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002427658,"about_ca_system_score_gemma":0.000610978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004018933,"about_ca_topic_score_gemma":0.001655658,"domain_scores_codex":[0.9994265,0.0002412791,0.00009938792,0.00004486777,0.0001251772,0.00006283203],"domain_scores_gemma":[0.9990403,0.0002358407,0.0004171118,0.00003266765,0.0001431449,0.0001309232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001106698,0.0010404,0.09559351,0.002639624,0.00009285775,0.01379841,0.00285894,0.0004151352,0.02169962,0.0007495503,0.01761298,0.8423923],"study_design_scores_gemma":[0.0004081667,0.01913952,0.3937389,0.01218222,0.0007040879,0.1933253,0.02264185,0.001887443,0.04171391,0.004402548,0.3094631,0.0003928892],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7679448,0.1545079,0.01946739,0.01879437,0.001688945,0.0007896703,0.0002052455,0.000495201,0.03610653],"genre_scores_gemma":[0.8689308,0.08796623,0.03375703,0.003162845,0.00115639,0.0003129488,0.0001865014,0.00007839278,0.004448859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003475098,"threshold_uncertainty_score":0.01162535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008892390273972647,"score_gpt":0.248894301461359,"score_spread":0.2400019111873864,"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."}}