{"id":"W7164914552","doi":"10.1080/17153379.2024.12558522","title":"Cooperating for the Climate: Learning from International Partnerships in China’s Clean Energy Sector.","year":2024,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Sustainable Development and Policies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Clean energy; Energy (signal processing); Clean technology; Clean water","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":[0.009920468,0.0003287274,0.0002141665,0.0005067386,0.01079642,0.006475219,0.001320875,0.002475274,0.01000565],"category_scores_gemma":[0.01201516,0.0001777504,0.0002592349,0.001166947,0.005273046,0.008962419,0.01006154,0.004134869,0.0007661551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005375825,"about_ca_system_score_gemma":0.02868678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02047585,"about_ca_topic_score_gemma":0.0529582,"domain_scores_codex":[0.9959534,0.002462273,0.00004480738,0.0001763558,0.0003068694,0.001056275],"domain_scores_gemma":[0.9889157,0.003022169,0.0005409735,0.0004274212,0.0008218551,0.006271965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002000352,0.0009426494,0.0462632,0.0003957836,0.00006249736,0.001602992,0.2853946,0.002135905,0.001391355,0.221612,0.1178731,0.3221258],"study_design_scores_gemma":[0.00008227566,0.0003589135,0.02322937,0.0007682612,0.00005723878,0.0002232136,0.4655723,0.002806415,0.001311789,0.1519787,0.3535488,0.00006276213],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4611321,0.003721016,0.006138733,0.2424897,0.0007242587,0.0001907552,0.00009050492,0.0001096075,0.2854034],"genre_scores_gemma":[0.9764365,0.002191764,0.001290808,0.005193218,0.00006105489,0.00008525226,0.00004404326,0.00002145834,0.01467582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02047585,"threshold_uncertainty_score":0.05246502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859918688143244,"score_gpt":0.2324692480020744,"score_spread":0.213870061120642,"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."}}