{"id":"W7144642096","doi":"","title":"森林と境界をもつ草原内にベイトトラップを配置する場合の緩衝帯および草原内の河畔林の有用性：インドネシア共和国東カリマンタン州の食糞性コガネムシ類群集についての予備的研究","year":2015,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Canadian Forest Service; Lembaga Ilmu Pengetahuan Indonesia; U.S. Forest Service; Forestry and Forest Products Research Institute","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001494163,0.0002886736,0.0003126588,0.00729546,0.0004961206,0.001960481,0.0007344538,0.0003428529,0.02035499],"category_scores_gemma":[0.005935758,0.0001743005,0.0001930073,0.006977606,0.0003313958,0.002163411,0.0007904446,0.0004097456,0.006291699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006919173,"about_ca_system_score_gemma":0.001865912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006815328,"about_ca_topic_score_gemma":0.008555661,"domain_scores_codex":[0.9991938,0.000121538,0.0002180509,0.0001254142,0.000265178,0.00007592828],"domain_scores_gemma":[0.9936594,0.001676009,0.001379319,0.001296168,0.001581954,0.0004071257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005638263,0.0005461655,0.2240043,0.002318947,0.0001464877,0.000752204,0.001810244,0.002435204,0.01004515,0.02040678,0.2475322,0.4894385],"study_design_scores_gemma":[0.00007991542,0.0001554533,0.2438673,0.000420767,0.0002265749,0.001107413,0.00389889,0.005254965,0.02416972,0.006739116,0.7139525,0.0001274582],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2680052,0.003426264,0.02901673,0.00288921,0.0003546271,0.0007430144,0.5749015,0.007416255,0.1132472],"genre_scores_gemma":[0.4976805,0.002783667,0.03435569,0.0005741948,0.0001601061,0.0005861114,0.4349795,0.0004600086,0.02842023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02035499,"threshold_uncertainty_score":0.06809419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02289796767009522,"score_gpt":0.2315530853434939,"score_spread":0.2086551176733987,"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."}}