{"id":"W3126278414","doi":"10.1139/cjfr-2020-0408","title":"Local <i>was</i> best: sourcing tree seed for future climates","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Forests","funders":"","keywords":"Procurement; Agroforestry; Geography; Climate change; Ecosystem services; Ecosystem; Business; Environmental resource management; Forestry; Ecology; Biology; Environmental science; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001143468,0.0001146456,0.0001800581,0.0002512815,0.0004479803,0.0001728925,0.0004866653,0.00009081738,0.002062319],"category_scores_gemma":[0.0002097323,0.0001025433,0.0001398906,0.0006055656,0.0003917737,0.0002479689,0.00008324199,0.0004194878,0.0004354044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004219796,"about_ca_system_score_gemma":0.000557558,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007819889,"about_ca_topic_score_gemma":0.3958139,"domain_scores_codex":[0.9981103,0.0001007611,0.0002804008,0.0001800666,0.000486903,0.0008415767],"domain_scores_gemma":[0.9986006,0.0001377231,0.00007608705,0.0002234639,0.0001347622,0.0008273434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006782969,0.00005905959,0.6484002,0.00007624421,0.00006065491,0.0009389389,0.001320664,0.003185682,0.0003719399,0.004704536,0.3194045,0.0214097],"study_design_scores_gemma":[0.0009506643,0.000430307,0.1324019,0.00009552074,0.00002956751,0.0001764751,0.001717928,0.0009363429,0.0007638846,0.004364238,0.8578926,0.0002405425],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9366631,0.00084508,0.0003716828,0.01018335,0.0004378102,0.0002652933,0.00002651104,0.000005920448,0.05120127],"genre_scores_gemma":[0.9866624,0.00007395891,0.0007686728,0.0003424024,0.0007156223,0.000007778682,0.00001112597,0.00002719353,0.01139088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5384881,"threshold_uncertainty_score":0.9988499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03163779370879938,"score_gpt":0.3002172129109417,"score_spread":0.2685794192021423,"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."}}