{"id":"W2746013813","doi":"","title":"ニューファンドランド島沿岸域におけるタイセイヨウマダラ稚魚(Gadus morhua)の耳石微量元素の局地的な変動","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":"Gadus; Biology; Fishery; Zoology; Fish <Actinopterygii>","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":[0.0001164077,0.0001387618,0.00009587961,0.0001564465,0.0005000136,0.0003565598,0.0001334797,0.0001766392,0.00174998],"category_scores_gemma":[0.0002597467,0.0001327833,0.000078736,0.00009495047,0.000367589,0.0001886272,0.0003530863,0.0002514379,0.0003939322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005493509,"about_ca_system_score_gemma":0.0002388606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0165683,"about_ca_topic_score_gemma":0.04037961,"domain_scores_codex":[0.9999408,0.00000538426,0.00000368772,0.00002751668,0.00001110833,0.00001152044],"domain_scores_gemma":[0.9998859,0.00001181096,0.00003276547,0.00001247981,0.00002729414,0.00002966812],"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":[0.00118776,0.0001875367,0.2755078,0.0001736611,0.0001273749,0.00125261,0.002711002,0.0007396482,0.6316007,0.004704017,0.002566956,0.07924094],"study_design_scores_gemma":[0.00006446552,0.0009059113,0.8761878,0.00005819532,0.0002094417,0.0018277,0.004002938,0.00147412,0.08916931,0.002630276,0.02340708,0.00006272805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934823,0.0001131418,0.0004177278,0.0001182499,0.00002555408,0.00000622107,0.00006368328,0.00001778828,0.005755199],"genre_scores_gemma":[0.9949274,0.0000972181,0.0008899163,0.0001616102,0.000005283441,0.000005466456,0.0000603027,0.000007767897,0.003844904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0165683,"threshold_uncertainty_score":0.03294373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661849871162733,"score_gpt":0.2001043045323317,"score_spread":0.1834858058207043,"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."}}