{"id":"W2997359134","doi":"","title":"Population genomics of a timberline conifer, subalpine larch (Larix lyallii Parl.)","year":2019,"lang":"ceb","type":"dissertation","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Larch; Montane ecology; Geography; Population; Forestry; Biology; Ecology; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001173396,0.0002934164,0.0007758708,0.0001671131,0.002030487,0.00005799719,0.0005503245,0.0007709489,0.0003407966],"category_scores_gemma":[0.0002165684,0.0002169636,0.0002178852,0.000545792,0.0006910483,0.0002065364,0.0003903125,0.001347892,0.00006449298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001585069,"about_ca_system_score_gemma":0.0001201664,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01069295,"about_ca_topic_score_gemma":0.00251217,"domain_scores_codex":[0.9968526,0.0007819044,0.0003551526,0.0006929825,0.0007519855,0.0005653886],"domain_scores_gemma":[0.997125,0.0008526468,0.0005526829,0.0001547538,0.001120568,0.0001943033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002295535,0.0004611432,0.9536847,0.0008863218,0.0005293839,0.0000694977,0.006030097,0.00008015795,0.03202968,0.0002957641,0.0006414464,0.002996274],"study_design_scores_gemma":[0.0008063968,0.003361094,0.953312,0.0002632866,0.0001381719,0.000007464402,0.02559673,0.0004272697,0.0003785257,0.00007047792,0.01527964,0.0003588863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952761,0.001445977,0.000001456455,0.0002706238,0.0006103989,0.0004778342,0.00005649417,0.00002584004,0.00183526],"genre_scores_gemma":[0.963435,0.002103832,0.00006901775,0.000003633915,0.0002278043,5.236313e-7,0.0008778668,0.00000416282,0.03327815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03184111,"threshold_uncertainty_score":0.9992687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02709540573611113,"score_gpt":0.2579593715938074,"score_spread":0.2308639658576963,"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."}}