{"id":"W2995949797","doi":"10.3390/ani9121115","title":"Consequences Matter: Compassion in Conservation Means Caring for Individuals, Populations and Species","year":2019,"lang":"en","type":"article","venue":"Animals","topic":"Environmental Philosophy and Ethics","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Zoo","funders":"","keywords":"Environmental ethics; Harm; Sentience; Welfare; Neglect; Compassion; Animal welfare; Conservation psychology; Ecology; Political science; Psychology; Biology; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001832118,0.00007229507,0.00009717753,0.00002302377,0.00008260147,0.00002297113,0.00006574041,0.0000519744,0.000712009],"category_scores_gemma":[0.00001284292,0.00006902163,0.00001744712,0.0000594634,0.0001691242,0.0002295601,0.0000716101,0.00006878775,0.0001810698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004884578,"about_ca_system_score_gemma":0.000002597291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003340844,"about_ca_topic_score_gemma":0.0002705911,"domain_scores_codex":[0.9994043,0.00002717425,0.0001469299,0.000179875,0.0001192335,0.0001224509],"domain_scores_gemma":[0.9997579,0.00007893419,0.00004926543,0.00008292879,0.000001420215,0.00002947626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005811149,0.0000132757,0.9655203,0.00001013675,0.00000169284,3.051351e-7,0.0003111451,0.0002147826,0.02714713,0.006404197,0.0003105337,0.00006073434],"study_design_scores_gemma":[0.0002143312,0.00004427846,0.9712669,0.00002527927,0.000004833681,0.000002146617,0.0002069429,0.0002287481,0.001791902,0.02333895,0.002779169,0.00009651059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888509,0.00003412665,0.00005569961,0.003433414,0.00004324847,0.0002785855,0.00001977417,0.000009534231,0.007274746],"genre_scores_gemma":[0.9973764,0.00001536447,0.001637145,0.0006905421,0.00001132611,0.00001483255,0.00001429037,0.000005958561,0.0002341837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02535523,"threshold_uncertainty_score":0.7795999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05689892973610963,"score_gpt":0.2724324212309347,"score_spread":0.2155334914948251,"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."}}