{"id":"W2744995918","doi":"","title":"東部ベーリング海産ズワイガニ(Chionoecetes opilio)の繁殖能に寄与する多産能力と胚質","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":"Biology; Ecology; Fishery; Zoology","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":[0.0001780574,0.000352744,0.0001905861,0.0005796631,0.001042397,0.0004845192,0.0002815086,0.0005532433,0.007658992],"category_scores_gemma":[0.0004495048,0.0001811647,0.0002234281,0.0004157363,0.0007688532,0.0005056081,0.0007772509,0.0005978602,0.001598507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006903539,"about_ca_system_score_gemma":0.0005859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01805928,"about_ca_topic_score_gemma":0.03999239,"domain_scores_codex":[0.9998665,0.000007504735,0.0000086376,0.00004024313,0.00004209733,0.00003507799],"domain_scores_gemma":[0.9996575,0.00004445515,0.00007632894,0.00002134245,0.00009546395,0.0001049066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001588093,0.0001932627,0.07622155,0.0005980016,0.00008155194,0.002722273,0.002217618,0.0004182268,0.8021551,0.002170109,0.001491608,0.1101425],"study_design_scores_gemma":[0.0000864561,0.002701314,0.8327417,0.0001842677,0.0002603113,0.005893081,0.003814207,0.0008312004,0.09973846,0.001514442,0.05210889,0.0001256695],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963711,0.001055864,0.001141991,0.0002183442,0.0001339338,0.0000658689,0.0002958597,0.0000391134,0.03333799],"genre_scores_gemma":[0.9759662,0.0006891969,0.002210502,0.0002443216,0.00004901974,0.00003397023,0.0002537053,0.00001653516,0.02053657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01805928,"threshold_uncertainty_score":0.03590834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549950338067225,"score_gpt":0.2003488841033462,"score_spread":0.184849380722674,"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."}}