{"id":"W18989970","doi":"10.1021/jf801661j","title":"特発性傍中心窩毛細血管拡張症の4例 (特集 第59回日本臨床眼科学会講演集(5))","year":2006,"lang":"en","type":"article","venue":"臨床眼科","topic":"Phytase and its Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001873566,0.0002305006,0.0001200522,0.0002091288,0.0003803096,0.0002016017,0.0001600025,0.0001135005,0.001667739],"category_scores_gemma":[0.0001060597,0.0000970332,0.0001496602,0.0003233825,0.0002975732,0.0000766868,0.0000984588,0.0001202497,0.0008069201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000679509,"about_ca_system_score_gemma":0.0003807095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02525803,"about_ca_topic_score_gemma":0.08027908,"domain_scores_codex":[0.9999511,0.000006473391,0.000003502024,0.0000137662,0.00001571059,0.000009493641],"domain_scores_gemma":[0.9999218,0.000006474979,0.00001850339,0.000006224623,0.00002844151,0.00001847208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"case_report","study_design_scores_codex":[0.001107322,0.0002055937,0.1030854,0.0001078074,0.00007903804,0.0004379313,0.0003035987,0.000482977,0.8186506,0.0003078716,0.0003707136,0.07486103],"study_design_scores_gemma":[0.00008802573,0.002830477,0.6863747,0.00001499697,0.0001506303,0.001479961,0.0005762934,0.001746338,0.2879159,0.0002493401,0.01854409,0.00002923266],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995643,0.0003005667,0.001758121,0.00002209199,0.000007450803,0.00004227376,0.0001874031,0.00003394357,0.002004988],"genre_scores_gemma":[0.9754316,0.0003170459,0.01278947,0.00005201348,0.000005454905,0.00002925906,0.001232378,0.00001474379,0.0101282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02525803,"threshold_uncertainty_score":0.05022204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006544443409970962,"score_gpt":0.1659928660245151,"score_spread":0.1594484226145442,"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."}}