{"id":"W3020197475","doi":"10.1177/1356389020911060","title":"Evaluators in the Anthropocene","year":2020,"lang":"en","type":"article","venue":"Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Université de Sherbrooke","funders":"","keywords":"Anthropocene; Biosphere; Environmental ethics; Action (physics); State (computer science); Natural (archaeology); Call to action; Earth system science; Work (physics); Non-human; Environmental planning; Environmental resource management; Political science; Ecology; History; Geography; Archaeology; Environmental science; Business; Law; Computer science; Biology; Engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.02213067,0.000083176,0.0001222252,0.0001049789,0.000118606,0.0001669692,0.0005318873,0.00003673092,0.008981529],"category_scores_gemma":[0.005001018,0.0000478377,0.00005152376,0.001296355,0.00004436358,0.0003888856,0.00003464042,0.000126427,0.001813462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005903967,"about_ca_system_score_gemma":0.0003149177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007869057,"about_ca_topic_score_gemma":0.00002358612,"domain_scores_codex":[0.992666,0.001463494,0.0005350538,0.0003119301,0.004875513,0.0001480061],"domain_scores_gemma":[0.998417,0.0005746899,0.0001563023,0.0003434924,0.0004572844,0.0000512752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007130217,0.0001492813,0.1597645,0.000005464376,0.00001159458,0.000002700158,0.01989843,0.02315944,0.0004392241,0.005096897,0.06141278,0.7299885],"study_design_scores_gemma":[0.0008116145,0.0001203666,0.3438708,0.000004304545,0.00001707288,0.000001346415,0.003119554,0.6204537,0.0001934549,0.01543892,0.01587243,0.00009642368],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8696308,0.0002119845,0.00213055,0.07769419,0.0004110751,0.0009300886,0.000002929874,0.00002579192,0.04896264],"genre_scores_gemma":[0.9939139,0.00001099391,0.0002110969,0.0056004,0.0001597787,0.00005757382,0.00001020963,0.000004281208,0.0000317936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.729892,"threshold_uncertainty_score":0.9989637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4706248224375595,"score_gpt":0.5890246793657072,"score_spread":0.1183998569281478,"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."}}