{"id":"W7008594836","doi":"","title":"Changing Forests in a Warming World","year":2015,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Climate change; Deciduous; Global warming; Taiga; Forest health; Effects of global warming","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004580801,0.0002747474,0.0001542421,0.0009388868,0.002006442,0.004651334,0.0005943695,0.0009138528,0.1494492],"category_scores_gemma":[0.00118888,0.0001337947,0.0002532877,0.001518061,0.000545405,0.003087488,0.002427537,0.001096998,0.02736425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479089,"about_ca_system_score_gemma":0.002184046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01875705,"about_ca_topic_score_gemma":0.06874529,"domain_scores_codex":[0.999699,0.00005258165,0.00000972761,0.00002841473,0.000137702,0.00007256398],"domain_scores_gemma":[0.999554,0.00003979752,0.00002778696,0.00004753006,0.00009332455,0.000237554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003291365,0.00007238633,0.002272831,0.0002469922,0.000006207313,0.0001519435,0.0005877498,0.0002410354,0.0003073162,0.02335563,0.6879739,0.2847511],"study_design_scores_gemma":[0.000004006357,0.000005050475,0.003464637,0.0001040734,0.000002565174,0.00006535654,0.0003815348,0.00004214422,0.000080137,0.003832309,0.992013,0.000005258197],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009250536,0.01381178,0.0008063699,0.01281551,0.002138974,0.00005934528,0.003165571,0.0007696321,0.9571822],"genre_scores_gemma":[0.08734504,0.02966326,0.003533224,0.01012504,0.002240304,0.00009822048,0.005407882,0.0009750572,0.860612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1494492,"threshold_uncertainty_score":0.4999575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522398615449538,"score_gpt":0.1724281993396493,"score_spread":0.1572042131851539,"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."}}