{"id":"W7164013583","doi":"10.5061/dryad.xsj3tx9tp","title":"Data and code from: Using landscape genomics to define species distributions, delineate seed zones, and predict genomic offset to future climate for the interior spruce hybrid complex (<em>Picea glauca, Picea engelmannii</em>, and their hybrids","year":2025,"lang":"en","type":"dataset","venue":"DRYAD","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Maladaptation; Climate change; Context (archaeology); Population; Local adaptation; Reforestation; Genomics; Adaptation (eye)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00116289,0.0008451605,0.0007835239,0.00166403,0.001341398,0.002490523,0.001925866,0.001275235,0.1274242],"category_scores_gemma":[0.008104229,0.0005945374,0.0006786447,0.003221824,0.0006220716,0.00136327,0.002404469,0.001473501,0.07064646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00185458,"about_ca_system_score_gemma":0.005498726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1842583,"about_ca_topic_score_gemma":0.2373898,"domain_scores_codex":[0.9993091,0.00006188179,0.00007731625,0.0001988224,0.0002247463,0.0001281766],"domain_scores_gemma":[0.9971713,0.0007764203,0.0002471685,0.0005624904,0.0009360005,0.0003066323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004609444,0.00008559506,0.02329396,0.001245221,0.00009345651,0.0002374758,0.0006263131,0.001207042,0.001778014,0.002586422,0.9370597,0.03132586],"study_design_scores_gemma":[0.0003632532,0.00003626403,0.05055889,0.0005724337,0.00006510629,0.0001215083,0.0004299622,0.003921594,0.001532138,0.00510556,0.9372044,0.00008893323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002600197,0.00008348296,0.001908537,0.0003898779,0.00009132767,0.0001463037,0.978662,0.005492812,0.01062553],"genre_scores_gemma":[0.01299665,0.0001578048,0.008110039,0.0004320324,0.00002528479,0.0005301789,0.9670787,0.00292837,0.007740938],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1842583,"threshold_uncertainty_score":0.4262763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04429515614515582,"score_gpt":0.2839658863710354,"score_spread":0.2396707302258796,"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."}}