{"id":"W2023414123","doi":"10.1016/j.ecolmodel.2004.04.030","title":"Simulating the impact of small-scale extrinsic disturbances over forest species volumetric light environment","year":2004,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Scale (ratio); Environmental science; Ecology; Disturbance (geology); Atmospheric sciences; Soil science; Biological system; Geology; Biology; Geography; Paleontology; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002281918,0.0001512963,0.0002117427,0.00002901338,0.0003456959,0.00001519925,0.0002170354,0.00008715978,0.0006844163],"category_scores_gemma":[0.00004500688,0.00008837254,0.0001568786,0.0002049437,0.0003103014,0.00009016367,0.0002094999,0.0001699666,0.00008613506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002768997,"about_ca_system_score_gemma":0.000006582771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001259379,"about_ca_topic_score_gemma":0.0002604164,"domain_scores_codex":[0.9989558,0.00004430499,0.0002859974,0.0002691156,0.0001548416,0.0002899154],"domain_scores_gemma":[0.9993359,0.0002936429,0.0001537367,0.000162732,0.000005769089,0.00004823203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000006994615,0.0001099534,0.345461,0.000001570386,0.00001414369,0.000001531924,0.0002062115,0.6536929,0.0000804454,0.0002978234,0.000006910402,0.0001204581],"study_design_scores_gemma":[0.0001954702,0.0001542977,0.6469141,0.000003581573,0.00001209778,8.188406e-7,0.00005144672,0.3441464,0.00002556005,0.008369414,0.00003530881,0.00009158826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9368638,0.0001779873,0.05918625,0.0001517446,0.0000502492,0.000203522,0.000002756801,0.00001971559,0.003343946],"genre_scores_gemma":[0.9967896,0.0001218196,0.00272155,0.00003875258,0.00003035445,0.00001888408,0.000002195508,0.000006986105,0.0002699091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3095466,"threshold_uncertainty_score":0.7493878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02322663691056444,"score_gpt":0.2302538545405035,"score_spread":0.207027217629939,"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."}}