{"id":"W2772905060","doi":"10.1002/ecs2.2005","title":"Ecological surprise: concept, synthesis, and social dimensions","year":2017,"lang":"en","type":"article","venue":"Ecosphere","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Regina; University of Waterloo; Dalhousie University","funders":"National Socio-Environmental Synthesis Center; National Science Foundation","keywords":"Surprise; Ecology; Conceptualization; Ecosystem; Ecological systems theory; Heuristics; Environmental resource management; Psychology; Computer science; Environmental science; Social psychology; Biology","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":[],"category_scores_codex":[0.000125268,0.00008740077,0.0001284213,0.000002122241,0.001018136,0.00008727852,0.0002695772,0.00008001018,0.004863849],"category_scores_gemma":[0.00006171181,0.00006764499,0.0000351923,0.00001417882,0.0003212497,0.0001218623,0.0003401573,0.00008020826,0.0007104781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004151076,"about_ca_system_score_gemma":0.000005409634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001764844,"about_ca_topic_score_gemma":0.001108318,"domain_scores_codex":[0.9993185,0.0000295695,0.0001030345,0.0002409832,0.000109238,0.000198662],"domain_scores_gemma":[0.9995525,0.00006008688,0.0000881499,0.0002281348,0.000003320361,0.0000678183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004675912,0.0006795067,0.6450082,0.00006246044,0.00008586619,0.0003150936,0.001944045,0.0007140086,0.006716733,0.01265169,0.2456456,0.08613005],"study_design_scores_gemma":[0.0001559523,0.00002834188,0.98348,0.000009564823,0.00001059742,0.00001077763,0.0001465417,0.002672934,0.0001881971,0.0006341894,0.0124769,0.0001860527],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8969732,0.00004767873,0.00001827392,0.0006338199,0.0001208307,0.00008966927,0.000009703221,0.00001997676,0.1020869],"genre_scores_gemma":[0.9977509,0.00003081659,0.0002908839,0.000068414,0.00003536681,0.00001044723,7.27308e-7,0.000006487086,0.001805953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3384718,"threshold_uncertainty_score":0.9960458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00789113855668058,"score_gpt":0.2249477249511398,"score_spread":0.2170565863944592,"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."}}