{"id":"W2896034842","doi":"10.1088/1755-1315/186/6/012012","title":"Research on M&A Performance of Environmental Protection Enterprises under “One Belt and One Road”","year":2018,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Scope (computer science); Business; Solvency; Quarter (Canadian coin); Finance; Industrial organization; Market liquidity; Computer science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008940958,0.0001927135,0.0001342554,0.001178557,0.0006621071,0.001185689,0.000237491,0.0003267655,0.001642613],"category_scores_gemma":[0.002373744,0.00007303631,0.0002093656,0.001481315,0.0004329712,0.001448115,0.0005784368,0.0004781265,0.0002568685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001476494,"about_ca_system_score_gemma":0.001156878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01255549,"about_ca_topic_score_gemma":0.01504552,"domain_scores_codex":[0.9994013,0.00007477692,0.00005244251,0.00009776204,0.0001859378,0.0001876816],"domain_scores_gemma":[0.996524,0.0004394153,0.001775744,0.00009790058,0.0006174609,0.0005453732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005214283,0.0001093158,0.9832774,0.00002872154,0.00003445734,0.0001731501,0.001033883,0.0004798744,0.0009176735,0.000980103,0.0004421101,0.01247117],"study_design_scores_gemma":[0.000001236995,0.00007095969,0.9963233,0.000006698212,0.000008965591,0.00003305271,0.00172946,0.0005667612,0.0003979383,0.00007598314,0.0007812768,0.000004427758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980087,0.00006747455,0.00008273339,0.0001423664,0.00000240597,0.000004927802,0.0001138586,0.000001759201,0.001575948],"genre_scores_gemma":[0.9990351,0.00007809231,0.00004689336,0.0000104216,0.000005149989,0.000002603087,0.0001564874,6.815353e-7,0.000664584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01255549,"threshold_uncertainty_score":0.02496481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06401467300760345,"score_gpt":0.2332325402325244,"score_spread":0.1692178672249209,"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."}}