{"id":"W1528469834","doi":"10.1023/a:1006708213824","title":"A model integrating seed source adaptation and seed use","year":2000,"lang":"en","type":"article","venue":"New Forests","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of British Columbia","funders":"","keywords":"Adaptability; Maladaptation; Scots pine; Function (biology); Flexibility (engineering); Measure (data warehouse); Cauchy distribution; Term (time); Computer science; Mathematics; Statistics; Ecology; Botany; Biology; Data mining; Physics; Pinus <genus>; Evolutionary biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007344632,0.000126868,0.0001172866,0.000006148347,0.0002105811,0.0001994018,0.0001066067,0.00007635293,0.0002534163],"category_scores_gemma":[0.00008832222,0.00003934305,0.0000504135,0.0001858024,0.00004150309,0.0003794663,0.00003177029,0.0001312973,0.00006454482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000176097,"about_ca_system_score_gemma":0.000009521085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002407386,"about_ca_topic_score_gemma":0.01205566,"domain_scores_codex":[0.9990692,0.00003442165,0.0001505861,0.0002363401,0.0002214497,0.0002880566],"domain_scores_gemma":[0.9995646,0.0001039251,0.00002725226,0.00003283397,0.00005629452,0.0002151308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008531741,0.00003430749,0.01999503,0.000005141236,0.00001093051,0.00000400224,0.001137401,0.001193854,0.1312849,0.0002446657,0.0007909653,0.8452135],"study_design_scores_gemma":[0.0002751539,0.0002432113,0.8172851,0.00004779419,0.00001251728,0.0000192041,0.0005894783,0.1717052,0.000759511,0.001393034,0.007394833,0.0002749873],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978885,0.00004629438,0.00002279669,0.001264871,0.0000108934,0.0001673376,0.000007244824,0.00007545465,0.0005166287],"genre_scores_gemma":[0.9824474,0.00004309654,0.0004554308,0.0001759947,0.0001322105,0.000007889054,0.00004781032,9.545671e-7,0.01668915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8449385,"threshold_uncertainty_score":0.6727342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07206722696988858,"score_gpt":0.2709595809299331,"score_spread":0.1988923539600445,"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."}}