{"id":"W2747404286","doi":"","title":"温暖な河川における冬季温度勾配に沿ったブラウントラウト(Salmo trutta)のブラウントラウト(Salmo trutta)の成長とコンディション","year":2017,"lang":"ja","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Reproductive biology and impacts on aquatic species","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Salmo; Fishery; Biology; Brown trout; Fish <Actinopterygii>; 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":[0.0001885463,0.0001852379,0.0001076746,0.0003834707,0.0005349179,0.0004003122,0.000144075,0.0003092268,0.003920259],"category_scores_gemma":[0.0001552536,0.0001834687,0.0002542771,0.0002446728,0.0004632039,0.0002702897,0.0002615382,0.0003479973,0.001080031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005038012,"about_ca_system_score_gemma":0.0003719034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01012832,"about_ca_topic_score_gemma":0.01794774,"domain_scores_codex":[0.9999192,0.000005481798,0.00000649074,0.00002668444,0.00002384832,0.00001839686],"domain_scores_gemma":[0.9998118,0.00002275784,0.00005454383,0.00001089208,0.00006272153,0.00003732102],"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":[0.0001520751,0.00003779063,0.01409751,0.00005884134,0.00002845995,0.0002683981,0.0001763822,0.0001032214,0.9717985,0.0009732855,0.0003063826,0.01199911],"study_design_scores_gemma":[0.0000517149,0.001019125,0.3573831,0.00004534185,0.0002133952,0.001899217,0.001465129,0.00136614,0.6137446,0.001394241,0.02136237,0.00005559773],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893908,0.0008556401,0.001626897,0.0001948593,0.00005156215,0.00001824636,0.0002252647,0.00004137465,0.007595357],"genre_scores_gemma":[0.9857901,0.000672579,0.002288247,0.0002196405,0.00002615812,0.00001572072,0.0005216566,0.00001690304,0.01044901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01012832,"threshold_uncertainty_score":0.02013874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02826987228115319,"score_gpt":0.2665395147247169,"score_spread":0.2382696424435637,"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."}}