{"id":"W1985176425","doi":"10.1111/j.1744-7976.2011.01230.x","title":"Environmental Impact, Export Intensity, and Productivity Interactions: An Empirical Index Analysis of the Agri‐Food Industry in Spain","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Welfare economics; Endogeneity; Humanities; Economy; Political science; Economics; Econometrics; Philosophy; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008743518,0.0003858073,0.001217717,0.001164189,0.0001341789,0.00007598035,0.0006970852,0.0003729991,0.0006886147],"category_scores_gemma":[0.0001034496,0.0003450547,0.0004855514,0.0003644037,0.0003448808,0.001179483,0.00009710359,0.001003142,0.00001061676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002973096,"about_ca_system_score_gemma":0.0002302741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04274818,"about_ca_topic_score_gemma":0.6941335,"domain_scores_codex":[0.996862,0.00006437452,0.001742547,0.0006452268,0.00001221499,0.0006736694],"domain_scores_gemma":[0.9964583,0.00005455878,0.0018478,0.0005531981,0.00003109036,0.001055086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003355809,0.00008533595,0.98887,0.00000757185,0.0008481089,0.0000104249,0.002505036,0.004609245,0.00002362478,0.002649969,0.00007033742,0.000286797],"study_design_scores_gemma":[0.0004573573,0.0002900671,0.9929587,0.00002010934,0.0001214798,0.0002133607,0.001871674,0.0006845539,0.00007620227,0.002297738,0.0005978991,0.0004108859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967215,0.0002640056,0.000005226747,0.0007634746,0.0007103661,0.000242531,0.0005600854,0.000003907488,0.0007288711],"genre_scores_gemma":[0.9992644,0.00005544605,0.00008037311,0.0002070623,0.0001914036,0.00001135377,0.0000289038,0.00002898254,0.0001321086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6513852,"threshold_uncertainty_score":0.9999002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04423279716924219,"score_gpt":0.1889952115273082,"score_spread":0.1447624143580661,"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."}}