{"meta":{"query_hash":"084bb577be46","filters":{"venue":"Journal of Green Science and Technology"},"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/084bb577be46","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Green+Science+and+Technology"},"results":[{"id":"W4387575998","doi":"10.33603/jgst.v7i2.26","title":"Analysis of Fares and Subsidy Needs for Public Transportation using The Vehicle Operating Cost Approach (Case Study: Corridor 2 Trans Cirebon)","year":2023,"lang":"en","type":"article","venue":"Journal of Green Science and Technology","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Subsidy; Public transport; Business; Government (linguistics); Transport engineering; Willingness to pay; Service (business); Value (mathematics); Operating cost; Engineering; Economics; Mathematics; Marketing; Microeconomics; Statistics","score_opus":0.042942978801724645,"score_gpt":0.2684484473724535,"score_spread":0.22550546857072884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387575998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852057,0.0001671113,0.014092132,0.00022041383,0.000034796147,0.0002273581,0.000013045054,0.00003545204,0.0000040044188],"genre_scores_gemma":[0.9995682,0.000019701985,0.00037259428,0.0000049487153,0.000012848341,0.000008479715,0.0000013217508,0.000008591641,0.000003290928],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998911,0.000013813378,0.0004776074,0.00012809827,0.00027339993,0.00019606912],"domain_scores_gemma":[0.99926287,0.00005098718,0.0001490335,0.00014689306,0.0003376134,0.00005261826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012970929,0.000093038696,0.0003653159,0.0022551636,0.0002445316,0.00004925784,0.00022582924,0.000061526865,0.0000013600584],"category_scores_gemma":[0.00003138644,0.00006649958,0.00007173783,0.0071671926,0.0002667697,0.00031133686,0.0000065465665,0.00013020891,3.0643676e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000883435,0.0000715808,0.8763032,0.000105985404,0.0012156345,0.0001375324,0.009804552,0.022247223,0.06920637,0.0001834696,0.0000073068068,0.020708341],"study_design_scores_gemma":[0.0006411439,0.00024524968,0.041985787,0.000018568691,0.0017418149,0.00023673406,0.06548505,0.88839126,0.0010423536,0.000025216548,0.000041204195,0.00014561685],"about_ca_topic_score_codex":0.00029452727,"about_ca_topic_score_gemma":0.0013487848,"teacher_disagreement_score":0.86614406,"about_ca_system_score_codex":0.000027696156,"about_ca_system_score_gemma":0.00005149948,"threshold_uncertainty_score":0.34435984},"labels":[],"label_agreement":null}]}