{"id":"W2096196301","doi":"10.1139/x04-062","title":"Predicting landscape patterns of aspen dieback: mechanisms and knowledge gaps","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":210,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Pittsburgh","keywords":"Ecology; Geography; Biology; Agroforestry","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":[0.001351187,0.0002835574,0.0004566808,0.001052272,0.0002511351,0.001039538,0.000461314,0.0005571468,0.0004361907],"category_scores_gemma":[0.003006375,0.0002870713,0.0003524783,0.0007174935,0.0002862656,0.001466531,0.0003282017,0.0002484899,0.00008014714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005704043,"about_ca_system_score_gemma":0.0003975484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02171145,"about_ca_topic_score_gemma":0.0293621,"domain_scores_codex":[0.9997919,0.00007893766,0.00001784664,0.00006064818,0.00002334622,0.00002731483],"domain_scores_gemma":[0.9984225,0.0009778695,0.0002783223,0.00007947312,0.0001602787,0.00008153627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006090724,0.00005316621,0.9354216,0.0001245828,0.0001226758,0.0001187012,0.000128158,0.0268329,0.001420232,0.0002520613,0.0001629739,0.0353019],"study_design_scores_gemma":[0.000007652872,0.00004048802,0.8716189,0.0000360995,0.00005916505,0.0001043966,0.0006690141,0.1250815,0.0005618014,0.001401021,0.0004066807,0.00001330688],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9936598,0.00133046,0.00358597,0.0002559879,0.000002597871,0.00001564128,0.0004587293,0.00006368118,0.0006271069],"genre_scores_gemma":[0.9969622,0.0005299663,0.002033871,0.00001182926,0.00000397853,0.000006123153,0.0003553176,0.000003206851,0.00009352176],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02171145,"threshold_uncertainty_score":0.04317021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01981439598090869,"score_gpt":0.2600270657750173,"score_spread":0.2402126697941086,"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."}}