{"id":"W2910752062","doi":"10.1002/bse.2273","title":"Improving corporate biodiversity management through employee involvement","year":2019,"lang":"en","type":"article","venue":"Business Strategy and the Environment","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Externalization; Business; Directive; Natural resource management; Public relations; Human resource management; Corporate social responsibility; Environmental resource management; Natural resource; Knowledge management; Political science; Psychology; Economics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005231156,0.0003984408,0.000345935,0.00008843542,0.0004373237,0.0003097391,0.0004253583,0.00009534315,0.0007130958],"category_scores_gemma":[0.000009468675,0.000293103,0.00008689451,0.0003247921,0.0006089067,0.001196303,0.001062054,0.0001772857,0.001322872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001458841,"about_ca_system_score_gemma":0.000009780648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001248885,"about_ca_topic_score_gemma":0.00001419168,"domain_scores_codex":[0.9980145,0.00003332731,0.0003635952,0.0006466067,0.0004624121,0.0004795666],"domain_scores_gemma":[0.9988574,0.00003880811,0.0003969401,0.0006541222,0.0000328311,0.00001989844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001121045,0.0008374421,0.6453635,0.002898146,0.0004002356,0.0001229649,0.0003032733,0.01514169,0.0007024035,0.3202234,0.000949902,0.01193606],"study_design_scores_gemma":[0.006598706,0.00002704698,0.923422,0.00006019139,0.0003325605,0.000005742018,0.00198062,0.001041506,0.00008827679,0.03519268,0.03035161,0.0008990365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862315,0.0002797116,0.0008303864,0.001638345,0.0003346134,0.0015978,0.00000608655,0.0000970991,0.00898443],"genre_scores_gemma":[0.9965223,0.0002112089,0.0002017344,0.001691312,0.0001513311,0.00008420402,0.00006282167,0.0000290832,0.001045975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2850307,"threshold_uncertainty_score":0.9999521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591638949700602,"score_gpt":0.1746308006748273,"score_spread":0.1587144111778213,"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."}}