{"id":"W2342354373","doi":"","title":"Evaluating the Effectiveness of the European Union Emissions Trading System to Reduce Emissions from International Civil Aviation","year":2015,"lang":"en","type":"article","venue":"McGill international journal of sustainable development law and policy/˜The œMcGill international journal of sustainable development law and policy","topic":"International Law and Aviation","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aviation law; Complaint; Convention; Civil aviation; European union; Aviation; Political science; Member states; Directive; Member state; Law; International trade; Business; Engineering; 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":[0.03826102,0.001130404,0.001024199,0.001787681,0.001136499,0.005148643,0.002165092,0.004686756,0.006867305],"category_scores_gemma":[0.06329151,0.0003776383,0.001223146,0.001885052,0.002134437,0.004640401,0.002425527,0.001826119,0.0006024176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005669903,"about_ca_system_score_gemma":0.003865526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01458969,"about_ca_topic_score_gemma":0.007727175,"domain_scores_codex":[0.9744523,0.01861431,0.0007749537,0.001207424,0.00369317,0.001257826],"domain_scores_gemma":[0.9392915,0.04989326,0.003198477,0.002689927,0.00399255,0.0009341966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.02049487,0.009112527,0.04942865,0.001748271,0.001773306,0.0004063258,0.0005889577,0.5994704,0.004754024,0.1629464,0.008298205,0.1409779],"study_design_scores_gemma":[0.01246212,0.06427231,0.1338517,0.001118646,0.00320174,0.000230018,0.00525742,0.6047003,0.02246955,0.1090876,0.04289761,0.0004510721],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8724805,0.001729742,0.006293596,0.002910469,0.0002711597,0.0009756943,0.0009140524,0.0001610715,0.1142638],"genre_scores_gemma":[0.9920845,0.000221417,0.003380031,0.0005070466,0.00003495353,0.0001891841,0.0002449069,0.00002210399,0.00331583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03826102,"threshold_uncertainty_score":0.2023461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03109775723725499,"score_gpt":0.33892784487547,"score_spread":0.307830087638215,"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."}}