{"id":"W136147534","doi":"","title":"熊本県に産するカンアオイ類の他地域における分布(4)ツクシアオイとアケボノアオイ (BOTANY 50号 記念号)","year":2000,"lang":"ja","type":"article","venue":"Botany","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biology; Botany","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":[0.0003200304,0.000798639,0.0007629255,0.0001896176,0.0003514284,0.000109528,0.0008780637,0.001021749,0.01891097],"category_scores_gemma":[0.00005157248,0.000873989,0.0003455404,0.0006628083,0.0003651977,0.0004546669,0.00008001293,0.001188697,0.007074478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001583197,"about_ca_system_score_gemma":0.00008173568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001287596,"about_ca_topic_score_gemma":0.0001546038,"domain_scores_codex":[0.9965265,0.0001014609,0.0008309166,0.0008181109,0.0003971849,0.001325824],"domain_scores_gemma":[0.9980667,0.0001261325,0.00006531608,0.001399413,0.00005783684,0.0002846014],"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":[0.001237712,0.001656471,0.004115953,0.001346316,0.003702282,0.003988684,0.00816367,0.008230805,0.07178065,0.2327777,0.2381116,0.4248882],"study_design_scores_gemma":[0.004647644,0.001150301,0.06897521,0.000816669,0.0007173151,0.0007324179,0.002849687,0.03214945,0.002088208,0.06444605,0.8162493,0.00517771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5599529,0.03355218,0.0001299582,0.0007499917,0.0009927901,0.0004114903,0.000147048,0.001728758,0.4023349],"genre_scores_gemma":[0.971426,0.006782191,0.001163308,0.0002492692,0.0004859509,0.00004596451,0.0000060725,0.0001398338,0.01970139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5781378,"threshold_uncertainty_score":0.9993711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008680625186839546,"score_gpt":0.2067745275174367,"score_spread":0.1980939023305971,"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."}}