{"id":"W4301398046","doi":"10.20944/preprints202210.0012.v1","title":"A Method for Improving Interspecies Welfare Comparisons","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Victoria","funders":"Open Philanthropy Project","keywords":"Welfare; Animal welfare; Public economics; Operationalization; Harm; Construct (python library); Economics; Psychology; Social psychology; Ecology; Biology; Computer science","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":[0.1582364,0.002220534,0.002264149,0.01747392,0.003101051,0.005509501,0.005009471,0.002588611,0.02156561],"category_scores_gemma":[0.4346349,0.001506999,0.004253391,0.01416029,0.003476073,0.006407921,0.0101064,0.005509687,0.004172893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003397447,"about_ca_system_score_gemma":0.005672818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002316316,"about_ca_topic_score_gemma":0.004342197,"domain_scores_codex":[0.7874318,0.1303146,0.02591079,0.01725086,0.03719431,0.00189763],"domain_scores_gemma":[0.5955003,0.2263927,0.03241047,0.06832664,0.07566951,0.001700364],"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":[0.001191602,0.0007615181,0.02427068,0.005353577,0.002434746,0.0003708134,0.01364347,0.004198492,0.008839482,0.1427629,0.03150374,0.764669],"study_design_scores_gemma":[0.001065931,0.003466767,0.07339339,0.004693291,0.002552711,0.001158447,0.01343281,0.04887219,0.02356307,0.2868093,0.5401235,0.0008685095],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01045454,0.0003781521,0.9595128,0.0009563112,0.000778198,0.007576766,0.002706582,0.001484791,0.0161519],"genre_scores_gemma":[0.032808,0.0001448604,0.9427845,0.0004149165,0.0001046697,0.02007706,0.0009886572,0.0003510897,0.00232619],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1582364,"threshold_uncertainty_score":0.8368441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1470985192699573,"score_gpt":0.4529299394452401,"score_spread":0.3058314201752829,"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."}}