{"id":"W2742635829","doi":"","title":"淡水産イシガイ類 Fusconaia flavaに及ぼす高濃度の二酸化炭素の短期的及び長期的曝露の生理学的な影響","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; Geography; 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":[0.000181283,0.0002983749,0.0001438593,0.0004520484,0.0009216988,0.0005690947,0.0002105106,0.0005242402,0.00390484],"category_scores_gemma":[0.0003406436,0.00008774206,0.0003480323,0.0004071526,0.0002867086,0.0004783276,0.0002963931,0.0003176983,0.0006099031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001939432,"about_ca_system_score_gemma":0.0006688926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07112876,"about_ca_topic_score_gemma":0.05862936,"domain_scores_codex":[0.9998335,0.00001077456,0.000008938679,0.0000398467,0.00005622282,0.00005073117],"domain_scores_gemma":[0.9997009,0.00002868236,0.00003049584,0.00002005929,0.0001799803,0.00003991923],"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":[0.0009095886,0.00009612783,0.02950639,0.000116105,0.00003592089,0.001026742,0.0004822526,0.0005344165,0.9079114,0.001762919,0.001535293,0.05608284],"study_design_scores_gemma":[0.00005402664,0.0013997,0.3348254,0.00009413117,0.0001983979,0.002358757,0.00421316,0.00396394,0.5897156,0.002556866,0.06053624,0.00008375011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617485,0.001301962,0.001892996,0.0005204425,0.00009418323,0.00005158945,0.0007831485,0.00007285784,0.03353442],"genre_scores_gemma":[0.9874627,0.0002691237,0.001127236,0.0001892199,0.000008736555,0.00001017242,0.0004864843,0.000006632769,0.01043974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07112876,"threshold_uncertainty_score":0.1414295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158220071136583,"score_gpt":0.1988694675990905,"score_spread":0.1830474604854322,"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."}}