{"id":"W562803652","doi":"","title":"Vicia属3種(スズメノエンドウ・カスマグサ・カラスノエンドウ)の観察と分類教材としての価値について","year":2001,"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; Vicia; Vicia faba","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":[0.0002865143,0.0006098499,0.0005996703,0.0002315084,0.0002773863,0.00007701645,0.0006769641,0.0008428844,0.002680845],"category_scores_gemma":[0.00007346863,0.0006694528,0.0002473335,0.0006965287,0.0002483641,0.0003342143,0.000128791,0.000922952,0.002780379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001457106,"about_ca_system_score_gemma":0.00006386253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001454094,"about_ca_topic_score_gemma":0.00031213,"domain_scores_codex":[0.9972773,0.00006535775,0.0006470808,0.0006082076,0.0003125131,0.001089505],"domain_scores_gemma":[0.9984998,0.000109252,0.00007425099,0.001035079,0.00007059412,0.0002110659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008519188,0.001593248,0.02949181,0.001361716,0.003146036,0.006877894,0.008573108,0.007696036,0.07237913,0.5932072,0.1574058,0.117416],"study_design_scores_gemma":[0.003788954,0.0009896327,0.08696537,0.0007693171,0.0005453579,0.001106429,0.007580682,0.02533537,0.001970401,0.07180553,0.7947159,0.004427041],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5397966,0.02682853,0.0009913897,0.001374683,0.001863772,0.0003982538,0.00005214917,0.001722519,0.4269722],"genre_scores_gemma":[0.9839119,0.005570342,0.0009315629,0.0002316982,0.0005160457,0.00003115497,0.00000608491,0.0001029895,0.008698259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6373101,"threshold_uncertainty_score":0.9995757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066361868790476,"score_gpt":0.215047468356268,"score_spread":0.2043838496683633,"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."}}