{"id":"W1972423226","doi":"10.1016/j.palaeo.2013.09.028","title":"Using carbon economics of tree height to estimate evolutionary timing of cold tolerance in conifers","year":2013,"lang":"en","type":"article","venue":"Palaeogeography Palaeoclimatology Palaeoecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Mesozoic; Cenozoic; Biology; Cretaceous; Ecology; Frost (temperature); Allometry; Latitude; Paleontology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008201193,0.0002693636,0.0001160253,0.0007316999,0.0003790213,0.0006192473,0.0002460261,0.0002431262,0.0006870293],"category_scores_gemma":[0.002018587,0.0001522043,0.0001443116,0.0006663767,0.0003277442,0.0004552797,0.0002319488,0.0002485387,0.00008433095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007141498,"about_ca_system_score_gemma":0.0003194447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01968464,"about_ca_topic_score_gemma":0.05803175,"domain_scores_codex":[0.9998543,0.00006640777,0.000007278628,0.00003373686,0.00001629613,0.00002194165],"domain_scores_gemma":[0.9983797,0.0008789105,0.0003915346,0.00007507299,0.0001174602,0.0001573128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001440192,0.00003830125,0.9880018,0.000007056684,0.00006133231,0.00003282963,0.0001011253,0.003090052,0.00331325,0.0000974792,0.00002242293,0.005090353],"study_design_scores_gemma":[0.000003754405,0.00002686656,0.9926151,0.000002072039,0.00001512979,0.00004980939,0.0001054845,0.006517654,0.0004855376,0.0001188607,0.00005599114,0.000003808967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995605,0.00002832384,0.0002111614,0.000005505583,5.36927e-7,0.000001032285,0.00003699682,0.000001067737,0.0001546135],"genre_scores_gemma":[0.9996498,0.00001151565,0.0002196181,0.000002526282,9.42717e-7,0.000001383635,0.00004777818,0.000001453462,0.00006491284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01968464,"threshold_uncertainty_score":0.03914011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256755177013121,"score_gpt":0.2543679343664323,"score_spread":0.2418003825963011,"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."}}