{"id":"W3163856414","doi":"","title":"黄斑疾患診療の最前線 黄斑疾患の治療 光線力学療法","year":2013,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002387149,0.000370507,0.0003900689,0.0001641411,0.0001414544,0.00004319755,0.0005949027,0.000414493,0.02941973],"category_scores_gemma":[0.0001057549,0.0003595634,0.0001216839,0.0002858914,0.0003318542,0.0003810383,0.0001053092,0.001001464,0.008683918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000553744,"about_ca_system_score_gemma":0.00005757423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001980911,"about_ca_topic_score_gemma":0.00001055633,"domain_scores_codex":[0.9980314,0.00005861925,0.0004584584,0.0003661408,0.0003296543,0.0007557239],"domain_scores_gemma":[0.9989289,0.0001267652,0.00004734677,0.0005130873,0.00005871985,0.0003251971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003183228,0.0003508143,0.001350007,0.001197087,0.001112563,0.0003832694,0.004439023,0.0004465611,0.01550818,0.02779988,0.7756225,0.1717582],"study_design_scores_gemma":[0.006304984,0.0005847026,0.01082952,0.0007999566,0.0006766607,0.0003741475,0.006456798,0.1388974,0.01735298,0.07777793,0.7364739,0.003470982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3414722,0.04184642,0.0009443886,0.01137697,0.006244052,0.001104641,0.00005840669,0.002776648,0.5941763],"genre_scores_gemma":[0.9928608,0.00358131,0.0005452919,0.0004584653,0.0005329819,0.000112668,0.00002076839,0.00005356315,0.001834184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6513886,"threshold_uncertainty_score":0.9998856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429266572044755,"score_gpt":0.2452722987258974,"score_spread":0.2309796330054498,"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."}}