{"id":"W2753176624","doi":"","title":"アラスカ州,氷河性のスシトナ川におけるマスノスケとギンザケの稚魚を支えている食物網:季節的な動的ハビタットモザイクにおける淡水,海水,及び陸上の餌資源利用の様式","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":"Ecology; Biology; Environmental science; 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":[0.002955655,0.0003048498,0.0002389255,0.001215569,0.0028838,0.006411523,0.0006087176,0.001477655,0.009938492],"category_scores_gemma":[0.005402532,0.0002534085,0.0002648631,0.001087184,0.009119922,0.005130364,0.001214695,0.001428389,0.001049508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004877785,"about_ca_system_score_gemma":0.005785181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02377285,"about_ca_topic_score_gemma":0.02709875,"domain_scores_codex":[0.9988351,0.0002482867,0.00007420786,0.0002324284,0.0004500129,0.0001600202],"domain_scores_gemma":[0.9976023,0.000797194,0.0003683681,0.0001221227,0.0008269982,0.0002830579],"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":[0.0001117619,0.00009601825,0.01856333,0.0002725741,0.00003796942,0.0004341416,0.01424772,0.0008255744,0.001233393,0.8330604,0.01102902,0.120088],"study_design_scores_gemma":[0.00004655985,0.0001474699,0.05271569,0.0004790348,0.0001101232,0.0007246743,0.03891324,0.002016501,0.002252967,0.6349362,0.2675576,0.0001000333],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2183753,0.02464531,0.02283645,0.05167969,0.001351765,0.0001412115,0.0003628089,0.00007282577,0.6805345],"genre_scores_gemma":[0.9563853,0.003906133,0.00500979,0.001006622,0.0003286638,0.00004187619,0.00005585774,0.00001553882,0.03325024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02377285,"threshold_uncertainty_score":0.04726899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626834801887244,"score_gpt":0.1992518366104869,"score_spread":0.1829834885916144,"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."}}