{"id":"W2103328699","doi":"10.1002/bse.1890","title":"Firms’ Response to Climate Change: The Interplay of Business Uncertainty and Organizational Capabilities","year":2015,"lang":"en","type":"article","venue":"Business Strategy and the Environment","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; Korea Environment Corporation","keywords":"Business; Dynamic capabilities; Lean manufacturing; Production (economics); Knowledge management; Climate change; Industrial organization; Process management; Marketing; Computer science; Economics; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004051873,0.0001406833,0.0002029341,0.000912589,0.0009260614,0.0040389,0.0003584156,0.0009431365,0.001415226],"category_scores_gemma":[0.01688208,0.0001487032,0.0002708879,0.001016216,0.001566697,0.001734966,0.00225319,0.001039242,0.000104852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001454617,"about_ca_system_score_gemma":0.001084224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005085856,"about_ca_topic_score_gemma":0.006802946,"domain_scores_codex":[0.9957864,0.002010685,0.000279379,0.0002975421,0.0009365074,0.0006894837],"domain_scores_gemma":[0.9652772,0.01750144,0.0114082,0.001034253,0.002395873,0.002383129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001355146,0.000234306,0.9556842,0.00007734155,0.0002176892,0.0005219779,0.01280118,0.004687239,0.001876128,0.005713697,0.0006096929,0.01744094],"study_design_scores_gemma":[0.00000746026,0.0001595107,0.943647,0.00004829804,0.00003676799,0.00009401589,0.04491026,0.003290534,0.0007352231,0.003952889,0.003058181,0.00005989176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954593,0.0000877253,0.0003457327,0.0008144284,0.000006508435,0.000006353618,0.00001731298,0.000002756528,0.003259975],"genre_scores_gemma":[0.9998587,0.00002314517,0.00003482101,0.00003094659,0.000002393652,0.000001277053,0.000005458711,4.402338e-7,0.00004277853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005085856,"threshold_uncertainty_score":0.02142864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144035466113971,"score_gpt":0.2170428690576652,"score_spread":0.2026393224462681,"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."}}