{"id":"W25006979","doi":"10.1371/journal.pone.0101513","title":"無線LAN信号を用いたオンデマンドウェイクアップ方式(Green IT(1))","year":2011,"lang":"en","type":"article","venue":"電子情報通信学会技術研究報告. NS, ネットワークシステム","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0004155776,0.0003461805,0.0001838885,0.0005303596,0.0007659058,0.0007311135,0.000374801,0.0004579026,0.1502144],"category_scores_gemma":[0.0004736583,0.00009196153,0.0001215309,0.0004848204,0.0003404068,0.0004697745,0.0006744894,0.0003795517,0.06187911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000768428,"about_ca_system_score_gemma":0.001047525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0199385,"about_ca_topic_score_gemma":0.07301794,"domain_scores_codex":[0.9998485,0.0000186653,0.000007323349,0.00004475788,0.00005185666,0.00002898082],"domain_scores_gemma":[0.9996657,0.00004685744,0.00003153219,0.0000159986,0.0001348254,0.000105067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008934509,0.00007363435,0.01093016,0.0002611902,0.00001246904,0.0007615064,0.0002339481,0.00009497104,0.00186078,0.001729879,0.2353183,0.7486337],"study_design_scores_gemma":[0.000008432165,0.00009784726,0.01828999,0.0001422946,0.00001644106,0.001078583,0.0003124502,0.0001273622,0.0009047381,0.0004732027,0.978539,0.000009676879],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07212496,0.04752784,0.009030375,0.03653101,0.01307684,0.0003214807,0.004224517,0.0007706635,0.8163923],"genre_scores_gemma":[0.06514424,0.01665416,0.004493407,0.004334318,0.002281101,0.00008212464,0.00118614,0.0001725723,0.9056519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1502144,"threshold_uncertainty_score":0.5025171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05034419389968896,"score_gpt":0.2290144583595763,"score_spread":0.1786702644598874,"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."}}