{"id":"W2960019471","doi":"","title":"Wagschal, Steven. Minding Animals in the Old and New Worlds. A Cognitive Historical Analysis. Toronto: University of Toronto Press, 2018. x + 343 pp.","year":2019,"lang":"en","type":"article","venue":"Ehumanista","topic":"History of Science and Medicine","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Humanities; Sociology; Art; Anthropology; Media studies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001059354,0.001651318,0.0007600757,0.006434363,0.003466689,0.003301792,0.001480986,0.002790515,0.02683307],"category_scores_gemma":[0.00310509,0.001136621,0.0004829563,0.006668416,0.005164597,0.01201973,0.001540869,0.002949017,0.009348936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002955176,"about_ca_system_score_gemma":0.002748632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06821574,"about_ca_topic_score_gemma":0.1523159,"domain_scores_codex":[0.9995734,0.0001371093,0.00005491305,0.00005659126,0.0001314007,0.00004651879],"domain_scores_gemma":[0.9978486,0.001201868,0.0001773618,0.00008624316,0.0005244592,0.0001614455],"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":[0.00008804404,0.00002498154,0.0008691595,0.001693208,0.00003249977,0.0003724336,0.01926743,0.0002578192,0.0003972748,0.08115506,0.6788967,0.2169454],"study_design_scores_gemma":[0.00001260597,0.00002468516,0.003079526,0.002423307,0.00003424731,0.0004661303,0.006839789,0.0000798671,0.000348714,0.0423919,0.9442706,0.00002861852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001097827,0.9351655,0.003077109,0.02452153,0.002524405,0.00002056604,0.0007048985,0.0001547476,0.03273348],"genre_scores_gemma":[0.04786215,0.8722373,0.004727711,0.004288737,0.00204876,0.0000897335,0.0004717172,0.0003357648,0.06793819],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.06821574,"threshold_uncertainty_score":0.1356373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04090327549261791,"score_gpt":0.2369792629368606,"score_spread":0.1960759874442427,"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."}}