{"id":"W2792563346","doi":"10.1007/s11258-018-0802-x","title":"Bark type reflects growth potential of yellow birch and sugar maple at the northern limit of their range","year":2018,"lang":"en","type":"article","venue":"Plant Ecology","topic":"Seedling growth and survival studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministère des Ressources Naturelles et de la Faune; Ministère des Forêts, de la Faune et des Parcs","keywords":"Maple; Plant ecology; Sugar; Applied ecology; Bark (sound); Yellow birch; Range (aeronautics); Botany; Limit (mathematics); Ecology; Biodiversity; Biology; Food science; Mathematics; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001921635,0.00007617269,0.0001578909,0.00001613981,0.000124499,0.000002207548,0.0001333002,0.00005292893,0.0004172249],"category_scores_gemma":[0.00004796018,0.00004714902,0.00002575836,0.00009051668,0.0005255098,0.0000171185,0.0002093735,0.00004759034,0.0001081318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002204249,"about_ca_system_score_gemma":0.000005912344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007148476,"about_ca_topic_score_gemma":0.01965546,"domain_scores_codex":[0.9993936,0.00006018829,0.0001253493,0.0001483989,0.00009076475,0.0001816943],"domain_scores_gemma":[0.9995983,0.0001774542,0.0000649276,0.0001116947,0.00001699124,0.00003069677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002016967,0.00003646124,0.9729207,0.00001043124,0.00003715928,0.00000410941,0.0009301638,0.000005290387,0.02417575,0.00002564344,0.001253275,0.0003993603],"study_design_scores_gemma":[0.0002674096,0.0004142746,0.9884182,0.000003204514,0.0000200181,0.00001703937,0.0001462427,0.0001306972,0.007864119,0.0004134151,0.002227756,0.00007759257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938703,0.0001206441,0.000003990668,0.0001826063,0.0002201179,0.0000908278,0.00002529717,0.000007462647,0.005478809],"genre_scores_gemma":[0.9993994,0.0001485979,0.0000320805,0.0001016035,0.0000374849,0.000002561898,0.00000497921,0.000005700626,0.0002676335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01894061,"threshold_uncertainty_score":0.9982333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324983045361035,"score_gpt":0.2025960358984082,"score_spread":0.1893462054447978,"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."}}