{"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":"a532306171c5","filters":{"venue":"看護研究"}},"results":[{"id":"W32988224","doi":"10.1080/17460441.2020.1822815","title":"乳幼児における言語発達障害予防の看護研究 (焦点 予防看護学研究の進展)","year":2007,"lang":"en","type":"article","venue":"看護研究","topic":"3D Printing in Biomedical Research","field":"Engineering","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; Canadian Institutes of Health Research","keywords":"Computer science","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01015539392408684,"gpt":0.2701208721190884,"spread":0.2599654781950015,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003466923,0.000484621,0.0007547839,0.001169494,0.00167757,0.003783672,0.0004729394,0.001118378,0.00470335],"category_scores_gemma":[0.002521541,0.0007128759,0.0006047538,0.0007885048,0.002936782,0.001777561,0.0009255934,0.002199026,0.005265139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009711342,"about_ca_system_score_gemma":0.001364938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088111,"about_ca_topic_score_gemma":0.002248724,"domain_scores_codex":[0.9983297,0.0002483033,0.0001609742,0.0003906118,0.0007191524,0.0001512462],"domain_scores_gemma":[0.9962214,0.001239033,0.0006300559,0.0005418838,0.0009498275,0.0004177653],"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":[0.0002553423,0.0001631213,0.006604136,0.001006915,0.0001229762,0.001455303,0.0008629899,0.001472364,0.7958092,0.0241934,0.003968138,0.1640861],"study_design_scores_gemma":[0.00003633693,0.0005195055,0.01376703,0.000424615,0.0001775101,0.006148736,0.001223455,0.002203237,0.7641697,0.01980696,0.19136,0.0001629815],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4834955,0.07417318,0.3009836,0.006069355,0.002982861,0.0006414332,0.001622117,0.001120651,0.1289113],"genre_scores_gemma":[0.7265571,0.05286236,0.1727853,0.002207759,0.001395107,0.0005533184,0.001889998,0.0004853407,0.04126365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00470335,"threshold_uncertainty_score":0.01833504,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}