{"id":"W2982219104","doi":"10.1111/amet.12839","title":"Driving in terrain","year":2019,"lang":"en","type":"article","venue":"American Ethnologist","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research University Higher School of Economics; University of Toronto; Social Sciences and Humanities Research Council of Canada; Wenner-Gren Foundation","keywords":"Modernity; Politics; State (computer science); Political economy; Eurocentrism; Sociology; Negotiation; Governmentality; Autonomy; Political science; Law; Social 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":[],"consensus_categories":[],"category_scores_codex":[0.0002982989,0.0000750519,0.0001466598,0.0002231965,0.0001468905,0.0000466882,0.0003396261,0.00004553692,0.0006982359],"category_scores_gemma":[0.0003686678,0.00007764251,0.00005633936,0.0006777424,0.001634661,0.0001635759,0.00006390474,0.0002572168,0.0005830649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008058827,"about_ca_system_score_gemma":0.00003559612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06284445,"about_ca_topic_score_gemma":0.3206283,"domain_scores_codex":[0.9989966,0.000126552,0.0001373736,0.0002174002,0.0001565979,0.0003654388],"domain_scores_gemma":[0.9994298,0.0001879427,0.00009495684,0.0002073357,0.00002911212,0.00005085219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008491922,0.00008742018,0.948242,0.000002159507,0.00001638301,0.00001080491,0.0174265,0.00002737463,0.0009805574,0.01965294,0.002445822,0.01109951],"study_design_scores_gemma":[0.0001581531,0.0001821694,0.5725165,0.00002398857,0.000004455136,0.000001036096,0.3289429,0.0000256279,0.00004945197,0.001107218,0.09672835,0.0002601411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8557945,0.00002744303,0.00000231565,0.005956511,0.000198221,0.000119739,8.388873e-7,0.0001280584,0.1377724],"genre_scores_gemma":[0.9963876,0.00004847212,0.0003888009,0.0003884623,0.00004113251,0.00001406088,0.000001142906,0.000007471283,0.002722863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3757255,"threshold_uncertainty_score":0.9433962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086987049593876,"score_gpt":0.3482847798149253,"score_spread":0.3274149093189865,"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."}}