{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002528973,0.0003337835,0.0005409865,0.001084132,0.00008469838,0.00007813606,0.0003260206,0.0002615525,0.0001320806],"category_scores_gemma":[0.00101223,0.0003301575,0.00005748647,0.0006652545,0.00009996803,0.0002870777,0.0001504173,0.0004243138,0.00004713492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009640102,"about_ca_system_score_gemma":0.0001588964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1051808,"about_ca_topic_score_gemma":0.213153,"domain_scores_codex":[0.996775,0.001016287,0.0007069961,0.0005422956,0.0004658729,0.0004935368],"domain_scores_gemma":[0.9982149,0.0007146731,0.0003107756,0.0004289683,0.0001316085,0.000199081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002671318,0.0001449234,0.9644381,0.0002240808,0.00002450297,0.00003788336,0.01456585,0.007440045,0.00009182982,0.004809613,0.00001171643,0.005540152],"study_design_scores_gemma":[0.0006019854,0.0001502884,0.9699131,0.0004149636,0.00003258543,0.000008575364,0.001440472,0.02264951,0.00001360591,0.004355525,0.0001079978,0.0003113702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939976,0.0003112635,0.0002553154,0.0007741561,0.0002233713,0.0009569726,0.001977657,0.00006112349,0.001442538],"genre_scores_gemma":[0.9919847,0.0002052731,0.007154487,0.00005432148,0.0000607379,0.0000486867,0.0004683427,0.00001597397,0.000007462314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1079722,"threshold_uncertainty_score":0.9999151,"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."}}