{"meta":{"query_hash":"5d4de3ce6e64","filters":{"venue":"Net Zero"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/5d4de3ce6e64","api":"https://metacan.xera.ac/api/v1/cohort?venue=Net+Zero"},"results":[{"id":"W7160519708","doi":"10.66967/netzero.2025.v1i103","title":"The Interaction Between Government Policies and Emission Cuts: Evidence from Emerging and Advanced Economies","year":2025,"lang":"","type":"article","venue":"Net Zero","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Government (linguistics); Incentive; Greenhouse gas; Emerging markets; Carbon tax; Climate change; Panel data","score_opus":0.01940549913782831,"score_gpt":0.24171468919978012,"score_spread":0.22230919006195182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160519708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99504143,0.001292712,0.00016326776,0.00036767425,0.000009373466,0.0000059062936,0.0006537746,0.0000035795406,0.00246226],"genre_scores_gemma":[0.9974049,0.0012367953,0.000059048863,0.00008761505,0.000010607413,0.00000448588,0.0008736787,0.000002444575,0.00032042785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994562,0.00012734772,0.000047973357,0.00012100075,0.00009201012,0.0001554076],"domain_scores_gemma":[0.99352175,0.0020846447,0.0030555504,0.0003614232,0.0005647809,0.0004118354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011290739,0.0001879574,0.0003943124,0.0009703924,0.00037086112,0.0011152979,0.00032148894,0.00041047938,0.0021239007],"category_scores_gemma":[0.0037991214,0.0001630842,0.00071469316,0.002115936,0.00068625447,0.0008527597,0.0010095033,0.0009807616,0.00024516744],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017713825,0.00012979427,0.98493445,0.000101143865,0.00039592513,0.00049989374,0.00068398996,0.0015737615,0.00016940704,0.0020627377,0.0008540951,0.008417695],"study_design_scores_gemma":[0.000008810011,0.00004767292,0.99550503,0.000041441075,0.00014216322,0.00005213926,0.0014519473,0.0005106343,0.00013344365,0.0003178487,0.0017809703,0.000007882759],"about_ca_topic_score_codex":0.023380982,"about_ca_topic_score_gemma":0.025214339,"teacher_disagreement_score":0.023380982,"about_ca_system_score_codex":0.0003732462,"about_ca_system_score_gemma":0.0006084197,"threshold_uncertainty_score":0.046489775},"labels":[],"label_agreement":null}]}