{"id":"W2056145978","doi":"10.1007/s13595-014-0414-0","title":"Inbreeding in mid-rotation coastal Douglas-fir: implications for breeding","year":2014,"lang":"en","type":"article","venue":"Annals of Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Forests","funders":"","keywords":"Inbreeding depression; Inbreeding; Selfing; Biology; Population; Ecology; Demography","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":[0.001344687,0.00007561779,0.0001004184,0.0001268018,0.00022232,0.00002419133,0.0004304515,0.00003219829,0.00003663462],"category_scores_gemma":[0.0003538815,0.00007331894,0.0000364622,0.0005910076,0.000701664,0.0005514191,0.0002041112,0.00004733497,0.00002829793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002785223,"about_ca_system_score_gemma":0.00001567151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002272964,"about_ca_topic_score_gemma":0.002454949,"domain_scores_codex":[0.9989736,0.00001165701,0.0002193435,0.0002800868,0.0001757477,0.0003395822],"domain_scores_gemma":[0.999496,0.000103287,0.0001157982,0.0001829363,0.00003269496,0.00006921189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001886173,0.00008549309,0.6383268,0.0000158334,0.000002481518,1.670086e-7,0.0002684362,0.01237623,0.01093309,0.3311385,0.001982769,0.004851394],"study_design_scores_gemma":[0.000188941,0.0001592721,0.8825268,0.00001227775,0.000002463866,9.325406e-7,0.0000479811,0.00649816,0.001391826,0.1073896,0.001697785,0.00008398677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694915,0.000004509449,0.0188701,0.002651077,0.0001935658,0.0003481822,0.000005119838,0.00001898215,0.008416902],"genre_scores_gemma":[0.9976954,0.000007520582,0.001791025,0.0003339363,0.00002558261,0.0000624079,0.000003370795,0.000004477763,0.00007624102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2442,"threshold_uncertainty_score":0.298986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04263548946673891,"score_gpt":0.3115653968969925,"score_spread":0.2689299074302536,"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."}}