{"id":"W2749119795","doi":"","title":"生者と死者:Hemimysis anomalaの侵入後の枝角類の減少に伴ってカイアシ類が優占する。","year":2016,"lang":"ja","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Anomala; Biology; Ecology; Zoology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002527505,0.0007288248,0.0002109339,0.001235696,0.0006853999,0.0006606093,0.0003550177,0.001048589,0.006497364],"category_scores_gemma":[0.001579324,0.0002439898,0.0002589572,0.000486052,0.001227721,0.0008238201,0.0003802028,0.0008479754,0.001167467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004791227,"about_ca_system_score_gemma":0.0004480503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003062578,"about_ca_topic_score_gemma":0.001956775,"domain_scores_codex":[0.9997332,0.00002477547,0.00003173219,0.00006364576,0.00007857702,0.00006813213],"domain_scores_gemma":[0.9994782,0.0001572116,0.0001251901,0.00002995356,0.0001333825,0.00007611055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.001111111,0.0003528281,0.1499828,0.0003408637,0.00008326151,0.6251726,0.001825319,0.0004962913,0.07639459,0.009670855,0.01305711,0.1215124],"study_design_scores_gemma":[0.00003271072,0.0002253979,0.06999918,0.0001469955,0.0001237025,0.8549652,0.001906251,0.001285571,0.05280681,0.004961521,0.01346679,0.00007990214],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9228989,0.004867529,0.01056831,0.007437897,0.0009635498,0.000204048,0.000954176,0.000602632,0.05150292],"genre_scores_gemma":[0.9876995,0.001077973,0.003779644,0.0005558922,0.0002575147,0.00002150972,0.0001536154,0.00003280767,0.006421532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006497364,"threshold_uncertainty_score":0.02173579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418005246727917,"score_gpt":0.193934234705643,"score_spread":0.1797541822383638,"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."}}