{"id":"W2010408893","doi":"10.1002/bse.679","title":"Impacts from climate change on organizations: a conceptual foundation","year":2010,"lang":"en","type":"article","venue":"Business Strategy and the Environment","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":322,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Climate change; Immediacy; Environmental resource management; Sustainability; Scale (ratio); Scope (computer science); Psychological resilience; Foundation (evidence); Predictability; Business; Political science; Economics; Geography; Psychology; Computer science","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":[0.000984551,0.0001389767,0.000210638,0.00006785654,0.0003982864,0.0004015311,0.0002783655,0.00006532328,0.00214108],"category_scores_gemma":[0.0005323331,0.00007460465,0.0000308927,0.0003105761,0.0003142605,0.0002519426,0.0001449862,0.0001331005,0.0008169844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000116911,"about_ca_system_score_gemma":0.00001722389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002244692,"about_ca_topic_score_gemma":0.0001008511,"domain_scores_codex":[0.998297,0.0001329881,0.0003914303,0.0003517603,0.000655196,0.0001715837],"domain_scores_gemma":[0.9981884,0.0009340487,0.0002209516,0.0005175119,0.00007103659,0.00006800184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002799507,0.0001428954,0.01278534,0.000003261488,0.00002451603,0.00001046969,0.002451762,0.0008626234,0.002206096,0.8967257,0.0003977176,0.08410973],"study_design_scores_gemma":[0.002269085,0.00005193652,0.8203112,0.00003255673,0.00002325684,0.00001215401,0.001678405,0.004320613,0.00007500122,0.1403944,0.03056357,0.0002678388],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900575,0.0003073942,0.004050254,0.001091015,0.0006280067,0.0004214126,0.00003035292,0.00002526506,0.003388854],"genre_scores_gemma":[0.9990728,0.00006977499,0.0001202728,0.0002575837,0.0002765675,0.00002505165,0.000009091662,0.00001017328,0.0001586189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8075259,"threshold_uncertainty_score":0.999961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1007508873164531,"score_gpt":0.3260300554200313,"score_spread":0.2252791681035781,"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."}}