{"id":"W761523965","doi":"10.1016/j.ecolmodel.2015.06.027","title":"Past-century decline in forest regeneration potential across a latitudinal and elevational gradient in Canada","year":2015,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration","keywords":"Regeneration (biology); Climate change; Ecology; Environmental science; Niche; Abundance (ecology); Global change; Global warming; Ecological succession; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003079712,0.00007441649,0.0001087819,0.00001985478,0.00008924106,0.000009769397,0.00005655367,0.00005268276,0.00003652538],"category_scores_gemma":[0.00003920188,0.00006561713,0.000009900432,0.0001145873,0.00006206403,0.00009291353,0.0001254496,0.0001195111,0.000006920768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005093826,"about_ca_system_score_gemma":0.00004410103,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06875747,"about_ca_topic_score_gemma":0.94704,"domain_scores_codex":[0.9991891,0.00004405546,0.0002115807,0.0002064343,0.0001332168,0.0002156207],"domain_scores_gemma":[0.999788,0.00005845444,0.00004531477,0.00003982406,0.00001038329,0.00005804803],"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":[0.00001136163,0.00002882172,0.4751347,6.499029e-7,0.00000101453,0.00001105642,0.00009380405,0.5241596,0.000003908632,0.0004624373,0.00002070818,0.00007200565],"study_design_scores_gemma":[0.00026965,0.00002262736,0.4706607,0.00000147014,9.067438e-7,0.000001895723,0.0000779639,0.5245277,7.556068e-7,0.004349323,0.00004147163,0.00004548165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899436,0.00006319091,0.008735288,0.0008439637,0.0001115773,0.0001136439,0.000002743594,0.000005035407,0.0001809805],"genre_scores_gemma":[0.9975034,0.00005029498,0.002074292,0.0002837535,0.00002458552,0.00002452214,0.00001318154,0.000002597604,0.00002336296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8782825,"threshold_uncertainty_score":0.9374437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02558999848339559,"score_gpt":0.2328413062535328,"score_spread":0.2072513077701372,"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."}}