{"id":"W6948893084","doi":"10.5281/zenodo.12946111","title":"Veelobooster Korea - 2024년에 업데이트된 효능, 리뷰를 읽어보세요!","year":2024,"lang":"ko","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); China; East Asia; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007101169,0.001383994,0.0008786906,0.001304886,0.000960099,0.002485735,0.001094768,0.001326896,0.5205173],"category_scores_gemma":[0.001220613,0.0007211441,0.0008868559,0.0009179775,0.0006691368,0.003072938,0.001847558,0.0028316,0.4937049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006436415,"about_ca_system_score_gemma":0.001145544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009009161,"about_ca_topic_score_gemma":0.001937901,"domain_scores_codex":[0.9995146,0.00004423144,0.00002881994,0.0001242967,0.0001855272,0.0001025145],"domain_scores_gemma":[0.9994568,0.00005969315,0.00003375871,0.00008337261,0.0001850572,0.0001813754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002546737,0.0004186799,0.0004502004,0.003258314,0.00005264942,0.0009844217,0.0002300242,0.0003314175,0.1596003,0.01155624,0.521341,0.29923],"study_design_scores_gemma":[0.0001038735,0.000197593,0.0003374155,0.0001372269,0.00001490749,0.000436694,0.00008572664,0.0001099554,0.02945398,0.0009902518,0.9681032,0.00002914022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01372213,0.0221149,0.02051433,0.005283763,0.01002858,0.001519804,0.01850035,0.01406879,0.8942475],"genre_scores_gemma":[0.03799743,0.01277644,0.009916329,0.002527991,0.0006266019,0.0006676975,0.01300247,0.004178486,0.9183066],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4794827,"threshold_uncertainty_score":0.6839238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594002841580305,"score_gpt":0.2317405960984907,"score_spread":0.2158005676826876,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}