{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004490144,0.0002487345,0.0002760066,0.0004009666,0.0005595858,0.0008071609,0.0003437716,0.000527626,0.004609786],"category_scores_gemma":[0.0003834742,0.0002656714,0.0004519592,0.0002599216,0.0005372126,0.0004720096,0.0003883076,0.0009706753,0.001898254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009721487,"about_ca_system_score_gemma":0.0006798215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005255016,"about_ca_topic_score_gemma":0.008688532,"domain_scores_codex":[0.9997534,0.00003357208,0.00001532379,0.00007277598,0.00007631252,0.00004860398],"domain_scores_gemma":[0.9997829,0.00003951403,0.00004093629,0.00003216214,0.00005360773,0.00005095415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002978705,0.00003659782,0.0008872427,0.000134687,0.00004257723,0.0001612306,0.0001622434,0.0002472251,0.9636084,0.007618259,0.0005935423,0.02621014],"study_design_scores_gemma":[0.00005179687,0.0007113801,0.01804314,0.00005866063,0.0001137486,0.001398117,0.0003680097,0.001477332,0.8183011,0.005846449,0.1535709,0.00005933643],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7815831,0.01111902,0.04097546,0.003075536,0.0008237101,0.0001885877,0.001038039,0.0007814965,0.1604151],"genre_scores_gemma":[0.9445819,0.002613224,0.01255807,0.0006032408,0.00005556353,0.00003903384,0.0007722068,0.0001696051,0.03860716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005255016,"threshold_uncertainty_score":0.01542127,"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."}}