{"id":"W3025413964","doi":"","title":"Achieving humane outcomes in killing livestock by free bullet II: Target selection.","year":2019,"lang":"en","type":"article","venue":"PubMed","topic":"Traumatic Ocular and Foreign Body Injuries","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Manitoba","funders":"","keywords":"Animal welfare; Livestock; Business; Medicine; Biology","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":[0.002483036,0.0003971726,0.0003734421,0.000464114,0.0004283656,0.0009749496,0.0004393971,0.0007240591,0.00918738],"category_scores_gemma":[0.003419199,0.0001045625,0.0003226757,0.000238028,0.0005172762,0.0007703269,0.001081257,0.0004856051,0.002058116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003054977,"about_ca_system_score_gemma":0.0008382677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003811843,"about_ca_topic_score_gemma":0.0007109146,"domain_scores_codex":[0.9991504,0.0002811678,0.00005698287,0.00006362892,0.0002817538,0.0001660796],"domain_scores_gemma":[0.9990168,0.0002944635,0.0002677996,0.00009748883,0.0001440136,0.0001795041],"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":[0.004045327,0.002533846,0.02958115,0.002286854,0.0001624044,0.00220924,0.0007664637,0.001372464,0.05003482,0.002722482,0.01947054,0.8848144],"study_design_scores_gemma":[0.001821056,0.1447367,0.3649369,0.003824319,0.001069088,0.08491009,0.006157795,0.01037582,0.1917109,0.02093584,0.1691478,0.0003735725],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7964182,0.0416393,0.09176267,0.005959937,0.001299995,0.001711475,0.0008203738,0.0006998377,0.05968818],"genre_scores_gemma":[0.9496628,0.01133384,0.02271012,0.001603313,0.0002814044,0.0005851637,0.0007636101,0.0001009699,0.01295872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00918738,"threshold_uncertainty_score":0.03073484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109746807040254,"score_gpt":0.2220140317623018,"score_spread":0.2110393510582764,"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."}}