{"id":"W3040773908","doi":"","title":"稚魚の生残と加入に及ぼす栽培/逆補償の影響 漁獲の理論に対する意義 | 文献情報 | J-GLOBAL 科学技術総合リンクセンター","year":2001,"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; Geography; Environmental science; Ecology","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":[0.001400784,0.0002809624,0.000208015,0.0008563086,0.002026265,0.002963747,0.0004230703,0.0009668827,0.02439435],"category_scores_gemma":[0.002151914,0.0002477695,0.0002459609,0.0004780698,0.004846302,0.002343355,0.0008177691,0.001243212,0.004944202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002684724,"about_ca_system_score_gemma":0.002352493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01377717,"about_ca_topic_score_gemma":0.01727548,"domain_scores_codex":[0.9991885,0.0001107549,0.00003998036,0.0001637877,0.0003822628,0.0001146943],"domain_scores_gemma":[0.998603,0.0002686928,0.0001451914,0.0001240732,0.000663049,0.0001958713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002080972,0.0001411978,0.01531105,0.0003533892,0.00008798746,0.000592598,0.00499578,0.00137427,0.014452,0.6979819,0.04021528,0.2242865],"study_design_scores_gemma":[0.0000407837,0.0001793559,0.04135025,0.0003036161,0.0001148874,0.0008099001,0.01016014,0.001637276,0.03038856,0.3243468,0.5905727,0.0000956272],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.109562,0.003803785,0.01759289,0.01486554,0.0008581541,0.00008389947,0.0004352857,0.0001604232,0.852638],"genre_scores_gemma":[0.8037809,0.003111791,0.0101495,0.002330669,0.0005246004,0.00006190054,0.0003044467,0.0001145189,0.1796217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02439435,"threshold_uncertainty_score":0.08160728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703802887326191,"score_gpt":0.2121789051931855,"score_spread":0.1951408763199236,"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."}}