{"id":"W2047992105","doi":"10.1002/bse.509","title":"Identifying priorities for action in corporate sustainable development indicator programs","year":2006,"lang":"en","type":"article","venue":"Business Strategy and the Environment","topic":"Public Procurement and Policy","field":"Business, Management and Accounting","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Key (lock); Process (computing); Sustainable development; Action (physics); Process management; Identification (biology); Risk analysis (engineering); Business; Computer science; Management science; Economics; Computer security; Political science; Ecology","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":[0.05770245,0.0008717602,0.0005489725,0.008752538,0.006056874,0.01513796,0.002053843,0.002957223,0.005933437],"category_scores_gemma":[0.04512342,0.0005912345,0.0004087443,0.005539088,0.002982199,0.007158436,0.007427469,0.004021955,0.0007684515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01355057,"about_ca_system_score_gemma":0.0252353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003128796,"about_ca_topic_score_gemma":0.004067241,"domain_scores_codex":[0.9580669,0.02670477,0.002126324,0.001107324,0.00739626,0.004598313],"domain_scores_gemma":[0.95322,0.02135003,0.003380442,0.001168742,0.0150543,0.005826602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002623897,0.0006984468,0.01529061,0.001437459,0.00007047295,0.001097361,0.02245267,0.01667021,0.004622097,0.5068069,0.02327096,0.4073205],"study_design_scores_gemma":[0.0001791579,0.0009847527,0.02159825,0.003277907,0.0001259752,0.0006229838,0.1491371,0.0423515,0.0178189,0.4291012,0.3344894,0.000312892],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3300053,0.002818681,0.2884316,0.05319434,0.0007399823,0.004387236,0.0003824811,0.0007805703,0.3192598],"genre_scores_gemma":[0.8529189,0.0008452242,0.1354621,0.000819788,0.00006237219,0.0008842421,0.0002647035,0.0000651327,0.008677519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05770245,"threshold_uncertainty_score":0.3051634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04273943119649546,"score_gpt":0.2255856722032623,"score_spread":0.1828462410067668,"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."}}