{"id":"W4385597822","doi":"10.21203/rs.3.rs-3026284/v1","title":"State shifts and divergent sensitivities to climate warming across northern ecosystems","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Moncton; Canadian Museum of Nature; Université Laval; Université de Montréal; Université du Québec à Montréal; Université de Sherbrooke; Université du Québec à Chicoutimi; Université du Québec à Rimouski","funders":"","keywords":"Biome; Subarctic climate; Permafrost; Ecosystem; Boreal; Environmental science; Latitude; Climatology; Northern Hemisphere; Atmospheric sciences; Climate change; Range (aeronautics); Ecology; Physical geography; Geography; Geology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006580041,0.00009557054,0.0001925162,0.0005572673,0.0003584445,0.0009859721,0.0001784705,0.0003112695,0.004416166],"category_scores_gemma":[0.002890714,0.0001963333,0.0003066612,0.0006650299,0.0006395531,0.0007176433,0.0008250095,0.0003418975,0.0002233848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004458087,"about_ca_system_score_gemma":0.0001905094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006831179,"about_ca_topic_score_gemma":0.01605984,"domain_scores_codex":[0.999819,0.0000598966,0.0000107291,0.00005838992,0.00001860699,0.00003346078],"domain_scores_gemma":[0.9986342,0.0007270668,0.0002373092,0.0001619673,0.0001205217,0.0001190387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00171207,0.0001035178,0.9210865,0.00009154536,0.000514586,0.0001784934,0.005985144,0.008024149,0.02926804,0.007766669,0.0005339771,0.02473548],"study_design_scores_gemma":[0.000008081491,0.00001971226,0.9944943,0.00000545729,0.00004204524,0.00003423506,0.001009846,0.001227344,0.0004796187,0.002344506,0.000327462,0.000007456586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979153,0.00005127752,0.0001246315,0.00004343417,0.000001545501,0.000001030165,0.0001027119,0.000003886949,0.001756199],"genre_scores_gemma":[0.9995705,0.00002882471,0.00004655412,0.000009233417,0.000001569945,0.000001280691,0.00009227761,0.000003119357,0.0002466775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006831179,"threshold_uncertainty_score":0.01477355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08178086088109748,"score_gpt":0.3645611640603059,"score_spread":0.2827803031792084,"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."}}