{"id":"W3035956223","doi":"","title":"より細かなモザイクはより粗いモザイクよりも若齢スギ人工林におけるイチイガシ(Quercus gilva)のためにより広い生態学的地位を与えるか 光利用率と光合成の空間的不均一性のシミュレーション | 文献情報 | J-GLOBAL 科学技術総合リンクセンター","year":2007,"lang":"ja","type":"article","venue":"Canadian Journal of Forest Research","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Forestry; Geography; Mathematics; Biology","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":[0.0006350357,0.0002081576,0.0001690047,0.0004471417,0.001192565,0.0009393552,0.000207184,0.0002944612,0.002521614],"category_scores_gemma":[0.0003313516,0.0001536545,0.0001244871,0.0003003368,0.001024888,0.0004488067,0.0003263938,0.000352723,0.0007227038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008126895,"about_ca_system_score_gemma":0.0005902911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01409527,"about_ca_topic_score_gemma":0.02923446,"domain_scores_codex":[0.9997614,0.00003165136,0.000009022485,0.00007480128,0.00008452251,0.0000386075],"domain_scores_gemma":[0.9996871,0.0000707943,0.00005679988,0.00002195729,0.0001101105,0.00005317466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008828572,0.0003606558,0.1578077,0.0002767135,0.0002173502,0.001005666,0.003808155,0.002832754,0.6697549,0.02275983,0.003874447,0.1364189],"study_design_scores_gemma":[0.0001274684,0.0006724349,0.7042647,0.000116169,0.0003100816,0.001919881,0.007901769,0.004451592,0.194533,0.01779504,0.06776921,0.0001387006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638295,0.0008095763,0.001854529,0.0002674351,0.00004291143,0.00002314351,0.0001109528,0.00004021533,0.03302191],"genre_scores_gemma":[0.9924722,0.000219879,0.001179214,0.00009448601,0.00001323274,0.000009246088,0.00009303116,0.0000135145,0.005905326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01409527,"threshold_uncertainty_score":0.02802646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03585442097305494,"score_gpt":0.309837359289977,"score_spread":0.2739829383169221,"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."}}