{"id":"W4393370460","doi":"","title":"Growth variations and adaptation capacity of fragmented marginal tree populations in boreo-mountain zones, in response to climate change","year":2015,"lang":"en","type":"preprint","venue":"theses.fr (ABES)","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Adaptation (eye); Tree (set theory); Geography; Ecology; Forestry; Physical geography; Biology; Mathematics; Neuroscience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001650502,0.0001054805,0.0001542477,0.0002444896,0.000264796,0.0003999934,0.0001359667,0.0001158262,0.0009933439],"category_scores_gemma":[0.0003525912,0.00009971766,0.0001772665,0.0002602596,0.0002034006,0.0001675355,0.0002421416,0.0001128379,0.0000937602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000199372,"about_ca_system_score_gemma":0.0001690048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01016152,"about_ca_topic_score_gemma":0.02663448,"domain_scores_codex":[0.9999382,0.000007093899,0.00000340761,0.00002831389,0.000008248333,0.00001470702],"domain_scores_gemma":[0.9997901,0.0000416521,0.00006641693,0.00002448794,0.00003678596,0.00004056135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002903361,0.00003271889,0.9621059,0.00002506461,0.00006568071,0.00008792999,0.0009097076,0.0007725758,0.02716366,0.0001180842,0.00006051143,0.008367804],"study_design_scores_gemma":[0.000001504241,0.00002756566,0.9992724,9.26873e-7,0.000004664058,0.00003716021,0.0001465559,0.0002548198,0.000133618,0.00002148497,0.00009800828,0.000001402757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997842,0.00003168965,0.00004816475,0.000002974866,3.251632e-7,5.723083e-7,0.00004293703,0.000001227324,0.00008801297],"genre_scores_gemma":[0.9996153,0.00002297596,0.00009738997,0.000002792696,8.044482e-7,0.000002577032,0.000135331,0.000001034412,0.000121712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01016152,"threshold_uncertainty_score":0.02020472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1140895907006356,"score_gpt":0.2933262573552445,"score_spread":0.1792366666546089,"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."}}