{"id":"W2017477072","doi":"10.1038/nature05252","title":"Increased outcrossing in hothead mutants (Reply)","year":2006,"lang":"en","type":"article","venue":"Nature","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Outcrossing; Mutant; Evolutionary biology; Biology; Genetics; Ecology; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002908289,0.0008739271,0.00113467,0.0007912382,0.001634405,0.002400623,0.0016848,0.01150063,0.007864326],"category_scores_gemma":[0.009208444,0.000605076,0.001371007,0.0005626338,0.001337802,0.001692693,0.002475244,0.0179627,0.003515717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679261,"about_ca_system_score_gemma":0.0008680484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003943331,"about_ca_topic_score_gemma":0.005971645,"domain_scores_codex":[0.9986548,0.0001604394,0.0001844209,0.0002799253,0.0005196896,0.0002006677],"domain_scores_gemma":[0.9932005,0.002735188,0.0004948392,0.000451591,0.002219039,0.0008989712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005766194,0.000156899,0.002668154,0.0002835816,0.0001589775,0.001821929,0.0005746045,0.0007209994,0.0206811,0.002553128,0.9500047,0.01979931],"study_design_scores_gemma":[0.0003342306,0.0002665212,0.01782969,0.0002320262,0.0004502628,0.001574512,0.001544755,0.002850255,0.02196664,0.006788481,0.9458036,0.0003590572],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00703641,0.003372697,0.003846301,0.851245,0.129976,0.0000929086,0.0005169397,0.0005423566,0.003371282],"genre_scores_gemma":[0.05309034,0.004891736,0.006374277,0.8223621,0.06012542,0.0003298385,0.0006504801,0.0003006374,0.05187517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01150063,"threshold_uncertainty_score":0.02630877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003495132198499818,"score_gpt":0.2169730001543512,"score_spread":0.2134778679558514,"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."}}