{"meta":{"query_hash":"ffad62f5bec9","filters":{"venue":"Journal of Sailing 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/ffad62f5bec9","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Sailing+Technology"},"results":[{"id":"W4411483648","doi":"10.5957/jst/2025.10.1.92","title":"A Large-Scale Optimization Framework for Simultaneous Design and Routing of Wind-Assisted Ships","year":2025,"lang":"en","type":"article","venue":"Journal of Sailing Technology","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":2,"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":"Agence de l'innovation de Défense","keywords":"Propulsion; Computer science; Routing (electronic design automation); Multi-objective optimization; Fuel efficiency; Container (type theory); Automotive engineering; Engineering; Embedded system; Aerospace engineering","score_opus":0.010052841921586864,"score_gpt":0.2542423276465863,"score_spread":0.2441894857249994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411483648","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003206643,0.00007856188,0.9942357,0.00004465815,0.000012006977,0.00003444989,0.000028794862,0.00014118005,0.0022180204],"genre_scores_gemma":[0.3701289,0.00043108215,0.623812,0.00007710502,0.000042104894,0.000663709,0.00021517271,0.0002465782,0.0043833135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995322,0.00020295545,0.0000166954,0.00006221192,0.00014661628,0.000039417755],"domain_scores_gemma":[0.9995043,0.00028863773,0.000054201002,0.000030400326,0.00009937898,0.000023081231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015171227,0.0012907664,0.0009618619,0.0008009063,0.0005176357,0.0012218492,0.001172732,0.0008584371,0.0031572087],"category_scores_gemma":[0.0015635681,0.00084155466,0.0010287071,0.00064809027,0.00085060985,0.00075632945,0.0011580735,0.0011012743,0.000410362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032544322,0.000007417342,0.000032907523,0.000017480774,0.000005770146,0.000012392579,0.000007106375,0.99303365,0.00033431294,0.0034460954,0.00009096237,0.003008663],"study_design_scores_gemma":[0.0000034063546,0.000009025189,0.000017843973,0.00000378882,0.000002824654,0.000002770911,0.000004845254,0.99731123,0.00010096628,0.0020293859,0.0005119517,0.0000018787438],"about_ca_topic_score_codex":0.0064159567,"about_ca_topic_score_gemma":0.0071951402,"teacher_disagreement_score":0.0064159567,"about_ca_system_score_codex":0.0008940767,"about_ca_system_score_gemma":0.0021473558,"threshold_uncertainty_score":0.012757242},"labels":[],"label_agreement":null}]}