{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008093466,0.001131652,0.00110177,0.01021177,0.002388872,0.008244449,0.001434802,0.002273531,0.003561067],"category_scores_gemma":[0.01226823,0.0003216468,0.0009878253,0.005558882,0.02211843,0.0158331,0.005743865,0.004118715,0.0002384251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006018964,"about_ca_system_score_gemma":0.002785736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001739541,"about_ca_topic_score_gemma":0.001923602,"domain_scores_codex":[0.9963174,0.002301609,0.0002202846,0.0004303456,0.0005815228,0.0001488103],"domain_scores_gemma":[0.9827577,0.01334356,0.001334251,0.0007573203,0.001330591,0.0004764401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001311272,0.00001392731,0.000915572,0.0004214429,0.00002736564,0.0001034314,0.007357319,0.0008245187,0.00007488465,0.9760507,0.001917688,0.01227994],"study_design_scores_gemma":[0.000005117349,0.00002490934,0.001412902,0.0008755696,0.0000344935,0.0001837428,0.008408022,0.002672761,0.00009154501,0.9412395,0.04502049,0.00003083973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1050415,0.1796588,0.3274763,0.1070792,0.006764132,0.0003746568,0.000907194,0.0003763393,0.272322],"genre_scores_gemma":[0.9227318,0.0366561,0.03090074,0.003747122,0.002466629,0.0004785921,0.000282355,0.00008883535,0.002648012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01021177,"threshold_uncertainty_score":0.04367083,"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."}}