{"id":"W3137895682","doi":"","title":"루브라참나무 23개 산지간 생장특성 및 수간 통직성 비교","year":2013,"lang":"ko","type":"article","venue":"한국육종학회지","topic":"Ecology and Conservation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Provenance; Adaptability; Forestry; Biology; Horticulture; Botany; Geography; Ecology","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":[0.0003018067,0.0001910099,0.0002014332,0.0004742533,0.0009856701,0.000358796,0.0002488984,0.0001293005,0.001885048],"category_scores_gemma":[0.0001192125,0.00009791697,0.0002408846,0.0003095805,0.0002129462,0.0001406361,0.0002524822,0.0002836115,0.0005939886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006741821,"about_ca_system_score_gemma":0.0009073594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04162547,"about_ca_topic_score_gemma":0.2177286,"domain_scores_codex":[0.9998459,0.00001514166,0.00000759712,0.00004921823,0.00004480064,0.00003727157],"domain_scores_gemma":[0.9998248,0.00001101088,0.00002087056,0.00001730669,0.00007173816,0.00005429051],"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":[0.0003322361,0.0004115671,0.2782673,0.00008648896,0.00004248381,0.001265089,0.001019896,0.0005843601,0.6644267,0.0007312702,0.001081979,0.05175067],"study_design_scores_gemma":[0.00002007674,0.0008845543,0.9457341,0.00001265701,0.00003965135,0.0008788169,0.0007767449,0.0007675485,0.03183619,0.0001140357,0.0189057,0.00002972214],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938107,0.00008166447,0.001635929,0.00003276233,0.00001250139,0.0001182383,0.0003462067,0.00004211278,0.003919915],"genre_scores_gemma":[0.9743899,0.0001220404,0.00975204,0.00007499415,0.000005181194,0.0001616735,0.001150823,0.00002143817,0.01432184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04162547,"threshold_uncertainty_score":0.08276635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02868127334885497,"score_gpt":0.213270505004102,"score_spread":0.184589231655247,"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."}}