{"id":"W37036978","doi":"10.1073/pnas.2303921120","title":"イラストでみる病態生理 ALLERGY DISEASE ドライスキン","year":2001,"lang":"ja","type":"article","venue":"Medical Entomology and Zoology","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Government of Canada","keywords":"Medicine","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":[0.0003174812,0.0002016959,0.0001147328,0.0003184461,0.0004463722,0.001199785,0.0002059137,0.0004791908,0.01251911],"category_scores_gemma":[0.0003517369,0.00008002983,0.0001340827,0.0001976786,0.0003914086,0.0005593806,0.0002477567,0.0004296989,0.001989589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007276426,"about_ca_system_score_gemma":0.0006091683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001293543,"about_ca_topic_score_gemma":0.001818337,"domain_scores_codex":[0.9998161,0.00003282567,0.000007463959,0.00003200056,0.00006490476,0.00004659155],"domain_scores_gemma":[0.99977,0.0000385689,0.00003570621,0.00001392348,0.00008348722,0.0000582388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006678704,0.001189995,0.04753656,0.0007173042,0.00009258029,0.001950001,0.001657446,0.001660115,0.2469392,0.1289562,0.02765881,0.5409738],"study_design_scores_gemma":[0.00009276885,0.002895497,0.1596536,0.0003260913,0.0001739977,0.007173662,0.004212664,0.002918092,0.08246698,0.04697089,0.693045,0.00007072432],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6267132,0.01461264,0.007431887,0.02048895,0.001087222,0.0001487769,0.00026474,0.0001235744,0.329129],"genre_scores_gemma":[0.8827019,0.007066074,0.002271181,0.002213601,0.0003168717,0.00003081095,0.0001010668,0.000009997777,0.1052885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01251911,"threshold_uncertainty_score":0.04188061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008117924630071136,"score_gpt":0.2289472567330282,"score_spread":0.220829332102957,"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."}}