{"id":"W2944265245","doi":"10.1016/j.agrformet.2019.04.008","title":"Enhanced understory carbon flux components and robustness of net CO2 exchange after thinning in a larch forest in central Japan","year":2019,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute for Environmental Studies; Université de Montréal","keywords":"Understory; Thinning; Environmental science; Soil respiration; Soil carbon; Larch; Forestry; Botany; Soil science; Soil water; Biology; Geography; Canopy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009759749,0.0001153561,0.0002030411,0.00004763277,0.00001764136,0.000007177235,0.00007279267,0.0001088812,0.00003944336],"category_scores_gemma":[0.000003126113,0.0000778696,0.00001894759,0.000122798,0.0001198679,0.0001113386,0.0001218122,0.0001378563,0.000002659763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005026413,"about_ca_system_score_gemma":0.00000224808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362097,"about_ca_topic_score_gemma":0.01448789,"domain_scores_codex":[0.9991764,0.00005885319,0.0001754361,0.0002222324,0.00009049164,0.0002765164],"domain_scores_gemma":[0.9997907,0.00003696413,0.00005186934,0.00006651947,0.000003609906,0.00005034989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006405596,0.00003029985,0.9705836,0.00001899582,0.000006087361,0.000004115215,0.0008661203,0.01732411,0.01086409,0.00007541155,0.000003091012,0.0001600512],"study_design_scores_gemma":[0.0005960225,0.00008820455,0.9747115,0.00001788274,0.000007232672,0.00001761597,0.0001112216,0.02415638,0.0000469362,0.0001125078,0.00002465711,0.0001098601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988173,0.0001320361,0.000008060976,0.00008284792,0.00007977994,0.0002159812,0.000005294446,0.000006187041,0.0006525656],"genre_scores_gemma":[0.9996198,0.00004394176,0.00005877406,0.00002630076,0.000009544645,0.00001663244,0.00004178103,0.000003951184,0.0001792929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0131258,"threshold_uncertainty_score":0.8084584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006376831660730456,"score_gpt":0.1774418885207743,"score_spread":0.1710650568600438,"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."}}