{"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":"0a9fedee0fb9","filters":{"venue":"保健婦雑誌"}},"results":[{"id":"W31765874","doi":"10.1016/j.phytochem.2019.112193","title":"効果的な地区診断をするためのコツ (特集 保健婦活動「私のコツ」) -- (地域活動のなかのコツ)","year":2001,"lang":"en","type":"article","venue":"保健婦雑誌","topic":"Berberine and alkaloids research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","authors":[{"name":"純子 高石","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0392457508831151,"gpt":0.3560963307011052,"spread":0.3168505798179901,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001305612,0.0003572616,0.0001991596,0.0001436427,0.000207302,0.0001954377,0.0003009519,0.0002999233,0.003128694],"category_scores_gemma":[0.0001431475,0.00009173923,0.0002923796,0.0002066527,0.0001881939,0.0001883699,0.0002633736,0.0004559931,0.002164761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002495664,"about_ca_system_score_gemma":0.0002042931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009867375,"about_ca_topic_score_gemma":0.001447508,"domain_scores_codex":[0.9998568,0.00002512229,0.00001146946,0.00004477652,0.00004199191,0.00001987968],"domain_scores_gemma":[0.9998947,0.00001514886,0.00003417683,0.00001707938,0.00002125717,0.00001759853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001280157,0.0000439671,0.000967734,0.0000876409,0.00001653362,0.0002891464,0.00002441552,0.0003035183,0.9892336,0.0005375021,0.0001248287,0.008242991],"study_design_scores_gemma":[0.0000121216,0.0004189604,0.003752299,0.000006918835,0.00002397114,0.001168177,0.00003974247,0.001097603,0.9800008,0.0002087568,0.01325907,0.00001159053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.9547376,0.003591698,0.0250113,0.0003044177,0.000153853,0.0001589305,0.002506217,0.0006733012,0.01286262],"genre_scores_gemma":[0.9756503,0.0009334865,0.01497394,0.0000723689,0.000016004,0.00003463447,0.001945757,0.0000710427,0.006302369],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.003128694,"threshold_uncertainty_score":0.01046658,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}