{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"7ef8bff1477b","filters":{"venue":"日本エネルギー学会大会講演要旨集 第26回日本エネルギー学会大会"}},"results":[{"id":"W2911257165","doi":"10.20550/jietaikaiyoushi.26.0_200","title":"6-1-3 炭素繊維複合材料からのリサイクル炭素繊維回収条件の最適化","year":2017,"lang":"ja","type":"article","venue":"日本エネルギー学会大会講演要旨集 第26回日本エネルギー学会大会","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Child and Family Research Institute","funders":"","keywords":"Computer science","authors":[{"name":"清水 真也","is_ca":false},{"name":"隈部 和弘","is_ca":false},{"name":"守富 寛","is_ca":false},{"name":"板津 秀人","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01518268954443889,"gpt":0.2335522942371637,"spread":0.2183696046927248,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008581083,0.0003858478,0.0001989087,0.0008566219,0.002699749,0.004332722,0.0007564551,0.002226663,0.1417555],"category_scores_gemma":[0.001637641,0.0001859174,0.0004391067,0.0005203429,0.002697955,0.002022573,0.001678338,0.002205795,0.04107488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002323332,"about_ca_system_score_gemma":0.003229634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01176562,"about_ca_topic_score_gemma":0.01534068,"domain_scores_codex":[0.9992042,0.0001591048,0.00004432964,0.0001082801,0.0003628057,0.0001212855],"domain_scores_gemma":[0.9992331,0.0001249,0.00003787553,0.00008854723,0.0003913543,0.0001242984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006989984,0.00010444,0.000940238,0.0001365093,0.000009813461,0.0002431447,0.001845481,0.0003121534,0.002143281,0.8647844,0.06786459,0.06154609],"study_design_scores_gemma":[0.00001162686,0.00007920303,0.001932644,0.0001592328,0.00001127605,0.0002277835,0.00153121,0.000167485,0.001923541,0.07543479,0.9184955,0.00002563895],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004377478,0.0005855358,0.00156717,0.003037226,0.0006914058,0.00004217068,0.0001375003,0.00005333965,0.9895083],"genre_scores_gemma":[0.1196235,0.001233682,0.005422611,0.00192372,0.0004309774,0.00007127948,0.0002720259,0.00009615846,0.870926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1417555,"threshold_uncertainty_score":0.4742193,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}