{"id":"W4401056068","doi":"10.1177/09596836241259788","title":"Lessons for an invisible future from an invisible past: Risk and resilience in deep time","year":2024,"lang":"en","type":"article","venue":"The Holocene","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Science Foundation","keywords":"Resilience (materials science); Event (particle physics); Risk analysis (engineering); Psychological resilience; Sustainability; Risk assessment; Anthropocene; Environmental resource management; Risk management; History; Geography; Environmental planning; Environmental ethics; Computer science; Ecology; Business; Psychology; Environmental science; Computer security","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":[0.007057617,0.00073225,0.00112847,0.002486264,0.002591915,0.006309188,0.001510311,0.002604256,0.005278479],"category_scores_gemma":[0.0188168,0.0003993023,0.0007929024,0.002758078,0.01827364,0.02598268,0.006520695,0.006754369,0.0002997452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00339996,"about_ca_system_score_gemma":0.002998999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010407,"about_ca_topic_score_gemma":0.01696654,"domain_scores_codex":[0.998323,0.0008879649,0.00008154604,0.0002840653,0.0002225598,0.0002008667],"domain_scores_gemma":[0.9875108,0.008667205,0.0008832896,0.001267706,0.0007529753,0.0009180927],"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":[0.0001610885,0.00006778444,0.02189275,0.001054378,0.0004181031,0.0008823823,0.02296924,0.01093481,0.0007516614,0.8426648,0.01323842,0.08496445],"study_design_scores_gemma":[0.000008419728,0.00002432985,0.007895484,0.0007225877,0.00005913674,0.0001885757,0.00675065,0.00242221,0.0001761839,0.9561284,0.02556538,0.00005875343],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.262261,0.1159707,0.1567096,0.3953655,0.003159801,0.00008980715,0.001288555,0.0002888366,0.06486616],"genre_scores_gemma":[0.9496209,0.02489961,0.01426888,0.00794743,0.0007738048,0.00006154797,0.0002252444,0.0001127802,0.002089788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01010407,"threshold_uncertainty_score":0.03732473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007306340784807756,"score_gpt":0.2509969272289671,"score_spread":0.2436905864441593,"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."}}