{"id":"W6949536399","doi":"10.5281/zenodo.13354295","title":"Veelobooster Korea(리뷰 – 2024): 한국에서 효능과 가격을 확인하세요","year":2024,"lang":"ko","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diverse Interdisciplinary Research Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Identification (biology); Process (computing)","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":[0.001118649,0.001622586,0.000982518,0.001439907,0.001183787,0.002500753,0.001216276,0.001435888,0.5029148],"category_scores_gemma":[0.001253508,0.0008143689,0.0008936266,0.001135611,0.0007639843,0.002437587,0.001874342,0.002612445,0.4498594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000733295,"about_ca_system_score_gemma":0.001809093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008646676,"about_ca_topic_score_gemma":0.002443655,"domain_scores_codex":[0.9993683,0.00006527828,0.00004121945,0.000188338,0.0002215297,0.0001153964],"domain_scores_gemma":[0.9992833,0.00006872814,0.00004806268,0.00008492225,0.0002362446,0.00027889],"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":[0.003783124,0.0006367113,0.0005858139,0.003935001,0.00006677167,0.0008731684,0.0002357383,0.0004544542,0.22143,0.009759464,0.445855,0.3123847],"study_design_scores_gemma":[0.0001963078,0.0004454497,0.000596485,0.0001812011,0.00002649144,0.0004721914,0.00008463123,0.0001309481,0.03417823,0.0008150407,0.9628347,0.00003827751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02151132,0.0228411,0.01737174,0.00441972,0.008354461,0.002501768,0.03517387,0.01106935,0.8767567],"genre_scores_gemma":[0.04387514,0.01167378,0.01195161,0.001856694,0.0005145804,0.001078764,0.03031336,0.003376819,0.8953592],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4970852,"threshold_uncertainty_score":0.7090316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04457077337757829,"score_gpt":0.2809137295867867,"score_spread":0.2363429562092084,"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."}}