{"id":"W1913716678","doi":"10.1111/j.1469-8137.2007.01982.x","title":"Born to run: competition enhances the spread of genes from crops to wild relatives","year":2007,"lang":"en","type":"letter","venue":"New Phytologist","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Manchester; National Science Foundation","keywords":"Domestication; Introgression; Biology; Adaptation (eye); Competition (biology); Natural selection; Selection (genetic algorithm); Genetically modified organism; Gene; Biotechnology; Genetics; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001629742,0.0006010119,0.0006640102,0.0006693792,0.001855651,0.002419878,0.001120748,0.001523264,0.01554653],"category_scores_gemma":[0.002655276,0.0003536947,0.0004964683,0.0004183759,0.002153192,0.00257219,0.004303442,0.002053966,0.002476289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008921798,"about_ca_system_score_gemma":0.0007105373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002371305,"about_ca_topic_score_gemma":0.004827412,"domain_scores_codex":[0.9986267,0.0003013808,0.00003430861,0.0004700065,0.0003389749,0.0002286555],"domain_scores_gemma":[0.997912,0.0009234599,0.0002090489,0.0001433909,0.0002130956,0.0005990526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001178393,0.0008284022,0.04541389,0.0009681046,0.0003848512,0.003574673,0.006822096,0.001017137,0.6792555,0.06233237,0.02407875,0.1741456],"study_design_scores_gemma":[0.0007770821,0.005676053,0.3318941,0.0005407699,0.0007639751,0.01685183,0.01637039,0.009860479,0.1000639,0.1210291,0.3951659,0.001006432],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8729982,0.006860139,0.0167226,0.005777546,0.0006355516,0.00005125424,0.000311598,0.0003424872,0.09630046],"genre_scores_gemma":[0.9685514,0.001147952,0.005907144,0.005212432,0.000149497,0.00007531253,0.0002782327,0.0003249881,0.01835315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01554653,"threshold_uncertainty_score":0.05200833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04337793470854365,"score_gpt":0.2795799865713181,"score_spread":0.2362020518627745,"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."}}