{"id":"W32983031","doi":"10.3389/fmicb.2020.02032","title":"子どもと家族の支えになるために--乳児院からの報告 (特集 保育の本質をさぐる--さまざまな保育の現場から)","year":2011,"lang":"en","type":"article","venue":"季刊保育問題研究","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001777162,0.0002408543,0.0001528769,0.0003253487,0.0004518276,0.0004705601,0.0001348861,0.000302976,0.004793595],"category_scores_gemma":[0.0001129139,0.0001531582,0.0002462427,0.0001893735,0.000414633,0.0004401466,0.0003555623,0.0005385351,0.00103307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002939473,"about_ca_system_score_gemma":0.0002688153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001807013,"about_ca_topic_score_gemma":0.002328927,"domain_scores_codex":[0.9998702,0.00001008917,0.000009101032,0.00003734998,0.00004418292,0.00002912375],"domain_scores_gemma":[0.9998795,0.000009445667,0.0000385322,0.00000998099,0.00002989953,0.00003265779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005835377,0.0001052755,0.008019836,0.0002904983,0.00005275166,0.0004865853,0.0001329839,0.0001868581,0.9186063,0.002025781,0.0008531059,0.06865647],"study_design_scores_gemma":[0.0000396154,0.001090389,0.1088975,0.0001001033,0.00009886018,0.001813777,0.0003239438,0.001302187,0.8282869,0.00145694,0.0565422,0.00004764531],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9567363,0.009042556,0.01024955,0.0004486833,0.0001802172,0.0001031196,0.0009034371,0.0002597055,0.02207649],"genre_scores_gemma":[0.972048,0.003290751,0.006791167,0.0001933166,0.00007183738,0.00004529677,0.0006846999,0.0000314294,0.01684356],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004793595,"threshold_uncertainty_score":0.01603615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02606216800171801,"score_gpt":0.239108827803058,"score_spread":0.21304665980134,"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."}}