{"id":"W4293281879","doi":"10.3167/9781800734258","title":"Animals, Plants and Afterimages: The Art and Science of Representing Extinction","year":2022,"lang":"en","type":"book","venue":"Berghahn Books","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Yale University; University of Cambridge; Royal Society; University of Oxford; Johns Hopkins University","keywords":"Anthropocene; Extinction (optical mineralogy); Afterimage; Extinction event; Environmental ethics; Aesthetics; History; Geography; Ecology; Art; Sociology; Biology; Paleontology; Philosophy; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001191534,0.0001734747,0.0002356943,0.0003116711,0.00197786,0.0002471366,0.0004293029,0.00009238528,0.0007086918],"category_scores_gemma":[0.000238869,0.0001561985,0.00007835423,0.0001268907,0.003175539,0.0002597356,0.0005250571,0.0004042682,0.000008576395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009457202,"about_ca_system_score_gemma":0.0003282767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008667072,"about_ca_topic_score_gemma":0.003937497,"domain_scores_codex":[0.9980997,0.0001068026,0.0003031302,0.0004775562,0.0007085702,0.0003041895],"domain_scores_gemma":[0.9987992,0.0002991823,0.0003606866,0.0003222659,0.0001224665,0.00009616992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005635901,0.0002954056,0.00822515,0.0005319128,0.0006974874,0.0001610819,0.1218865,0.00001015745,0.01674053,0.2755541,0.5563965,0.01893762],"study_design_scores_gemma":[0.0001370168,0.0001296493,0.007047989,0.0001238944,0.00007068639,0.00003206007,0.01767658,0.000008583148,0.0001004145,0.009931756,0.9644305,0.0003108442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04280269,0.001593365,7.465489e-7,0.0004148991,0.0004111055,0.0004003639,0.00003620718,0.00005887616,0.9542817],"genre_scores_gemma":[0.3323376,0.0007941966,0.0001071272,0.00007853687,0.0002909045,0.00005221382,0.000009175859,0.00002977104,0.6663005],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.408034,"threshold_uncertainty_score":0.9995372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0300283052541232,"score_gpt":0.3084833192160262,"score_spread":0.278455013961903,"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."}}