{"id":"W4393089305","doi":"10.5267/j.dsl.2024.3.001","title":"Factors affecting the decision of selection the green growth: The case of business firms and its accountancy policy","year":2024,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Business and Economic Development","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Business; Accounting; Industrial organization; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002898106,0.0001496419,0.000198733,0.0008822049,0.003023036,0.005008152,0.0004669282,0.001296064,0.005708324],"category_scores_gemma":[0.006906697,0.0001238834,0.0002705831,0.0009113299,0.001711903,0.001353339,0.001157922,0.00115062,0.0001878556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006165701,"about_ca_system_score_gemma":0.005213889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06958126,"about_ca_topic_score_gemma":0.07843311,"domain_scores_codex":[0.9979734,0.0008021231,0.00004121731,0.00008331192,0.0001459606,0.0009540867],"domain_scores_gemma":[0.9931737,0.004043562,0.000871101,0.0001099603,0.0005739324,0.001227634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00050995,0.001098855,0.7866454,0.0001432394,0.0001070381,0.0126968,0.03701503,0.007011644,0.001684916,0.105322,0.004844041,0.04292101],"study_design_scores_gemma":[0.00005988539,0.0002149632,0.6932725,0.0002417874,0.0001257716,0.0009071932,0.2454925,0.01665475,0.001623058,0.01828569,0.02304086,0.00008099665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811074,0.000107935,0.0002141262,0.002166018,0.00000774919,0.00002381779,0.00002004602,0.000001984014,0.01635109],"genre_scores_gemma":[0.9990325,0.00005704966,0.00004848812,0.00006073554,0.000002831016,0.00000344854,0.000007404164,6.337664e-7,0.0007869208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06958126,"threshold_uncertainty_score":0.1383525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207837274735791,"score_gpt":0.2640951616887229,"score_spread":0.242016788941365,"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."}}