{"id":"W2938100350","doi":"10.1177/026119291304100311","title":"Balancing Reduction and Refinement","year":2013,"lang":"en","type":"article","venue":"Alternatives to Laboratory Animals","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Council on Animal Care","funders":"","keywords":"Reduction (mathematics); Variety (cybernetics); Distress; Welfare; Balance (ability); Computer science; Risk analysis (engineering); Psychology; Medicine; Economics; Artificial intelligence; Clinical psychology; Mathematics; Neuroscience","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":[0.02008969,0.001628213,0.001138901,0.002101159,0.001655017,0.002769492,0.002581636,0.002017125,0.007656537],"category_scores_gemma":[0.04735091,0.0006250866,0.001266194,0.001070942,0.003922378,0.004148723,0.004531487,0.003363625,0.002089404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00211939,"about_ca_system_score_gemma":0.004166448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002767133,"about_ca_topic_score_gemma":0.00656508,"domain_scores_codex":[0.9797117,0.005606236,0.001583122,0.002173641,0.009217584,0.001707763],"domain_scores_gemma":[0.9608766,0.01499339,0.004144554,0.008699476,0.009906427,0.001379557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002368985,0.001560087,0.01613827,0.003359086,0.0004692669,0.0005717062,0.0063086,0.01088106,0.1519844,0.1307881,0.01525019,0.6603203],"study_design_scores_gemma":[0.0004626267,0.007540257,0.04592292,0.003784605,0.001113624,0.003080294,0.00902856,0.02214399,0.1056964,0.3010873,0.4995565,0.0005829705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.1822215,0.00665168,0.6811359,0.01586612,0.001722882,0.002626639,0.0002423111,0.002094294,0.1074386],"genre_scores_gemma":[0.5198953,0.003082372,0.443013,0.007628542,0.0004703711,0.001538601,0.0003332838,0.001188429,0.02285006],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02008969,"threshold_uncertainty_score":0.1062457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.035218447487956,"score_gpt":0.3293548857968003,"score_spread":0.2941364383088443,"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."}}