{"id":"W2607840825","doi":"","title":"Spatial modeling of biophysical and vegetative conditions for northwest New Brunswick: implications of global warming on native tree distribution","year":2000,"lang":"en","type":"article","venue":"","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Global warming; Spatial distribution; Distribution (mathematics); Environmental science; Tree (set theory); Climatology; Climate change; Physical geography; Geography; Ecology; Mathematics; Remote sensing; Biology; Geology","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":[0.0003501532,0.0003290316,0.0002940443,0.000422753,0.0007259654,0.0009914034,0.001287584,0.00056724,0.002092621],"category_scores_gemma":[0.001436249,0.0004183145,0.0005548169,0.0009339214,0.0005023664,0.0006377557,0.0004661033,0.0005564478,0.0001335888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006497316,"about_ca_system_score_gemma":0.005054609,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8825291,"about_ca_topic_score_gemma":0.913866,"domain_scores_codex":[0.999913,0.00002020333,0.000005858677,0.00002111846,0.00000756399,0.00003234264],"domain_scores_gemma":[0.9995289,0.0002040739,0.0000592561,0.0000296496,0.0001218683,0.00005625476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006286911,0.00005513194,0.0816587,0.00001767055,0.0000543647,0.0001011134,0.00009017961,0.9118835,0.0005743363,0.001286869,0.0007648701,0.003450306],"study_design_scores_gemma":[0.00002568615,0.000007141935,0.02139778,0.000008210969,0.00003004101,0.00001528785,0.0002291964,0.9771608,0.0002247453,0.0004012591,0.0004869754,0.00001290026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955527,0.0001094831,0.001557622,0.0003861064,0.00001525684,0.00001139287,0.000937421,0.00003653907,0.001393467],"genre_scores_gemma":[0.9966335,0.0001424293,0.001642612,0.00004303358,0.000005140628,0.0000170775,0.0004841019,0.0000195741,0.001012551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1174709,"threshold_uncertainty_score":0.2363253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00997002373288612,"score_gpt":0.2542986366749342,"score_spread":0.2443286129420481,"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."}}