{"id":"W3081681679","doi":"10.1002/ecs2.3232","title":"Examining boreal forest resilience to temperature variability using bryophytes: forest type matters","year":2020,"lang":"en","type":"article","venue":"Ecosphere","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Université du Québec en Abitibi-Témiscamingue","funders":"Mitacs","keywords":"Bryophyte; Climate change; Boreal; Taiga; Environmental science; Ecology; Species richness; Ecosystem; Geography; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001584108,0.0001520138,0.0001969194,0.000002601866,0.000177123,0.00007257024,0.0003005308,0.000134703,0.001074976],"category_scores_gemma":[0.0002309287,0.00006642172,0.00004489817,0.000465567,0.00004108033,0.0001281794,0.00013397,0.0001807691,0.0002744778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003735285,"about_ca_system_score_gemma":0.0000206836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003199011,"about_ca_topic_score_gemma":0.002626651,"domain_scores_codex":[0.9988428,0.00007676245,0.0001920619,0.0004303427,0.0001213052,0.0003366881],"domain_scores_gemma":[0.9993801,0.0001817228,0.00005257034,0.00007584153,0.00006269739,0.0002470436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002066568,0.0001038805,0.6810899,0.00004229085,0.00002699483,0.00003876571,0.0006255194,0.001514522,0.211754,0.0004031883,0.09572309,0.008471156],"study_design_scores_gemma":[0.0000974234,0.0005611333,0.9818514,0.00001688311,0.000009565799,0.000005531428,0.0004374419,0.001076337,0.0003985163,0.0001906582,0.01511438,0.0002407435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893135,0.00002981925,0.00001151195,0.004869406,0.0002461571,0.0002155565,0.00002048415,0.00007940683,0.005214161],"genre_scores_gemma":[0.990355,0.000003152978,0.0008587854,0.008076351,0.0005338845,0.000006507094,0.00002370084,0.000001989306,0.0001405993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3007614,"threshold_uncertainty_score":0.9998382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02938627608881328,"score_gpt":0.2249639957983817,"score_spread":0.1955777197095685,"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."}}