{"id":"W2171853181","doi":"10.1139/g06-138","title":"Nuclear genome size in <i>Selaginella</i>","year":2007,"lang":"en","type":"article","venue":"Genome","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Biology; Genome size; Genome; Chromosome; Selaginella; Ploidy; Nuclear gene; Genetics; Botany; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001509194,0.0001269999,0.0001055469,0.0009567856,0.0001798997,0.0003265086,0.0002054184,0.0001666801,0.0009175561],"category_scores_gemma":[0.0003918918,0.00009286762,0.00011489,0.0003424793,0.0001879608,0.0003006444,0.0002762983,0.0001511171,0.0001872262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002510204,"about_ca_system_score_gemma":0.00007809904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008339265,"about_ca_topic_score_gemma":0.001224906,"domain_scores_codex":[0.999922,0.00001191135,0.000007574388,0.00003150045,0.00001605097,0.00001082243],"domain_scores_gemma":[0.999693,0.000115813,0.00008850227,0.00002726697,0.00004054608,0.00003481325],"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":[0.0002210197,0.000007842163,0.01918477,0.00004011071,0.00002105154,0.00005357683,0.0002492231,0.0001405605,0.9750525,0.0001468531,0.00002794579,0.004854525],"study_design_scores_gemma":[0.00001842537,0.000282338,0.7416465,0.00001942594,0.00005759045,0.0008220264,0.0004854246,0.001108279,0.2511943,0.0004380751,0.003894894,0.00003280397],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984877,0.0002152707,0.0005714703,0.00001010598,0.000001416656,0.000001322456,0.0002761997,0.00002004393,0.0004164042],"genre_scores_gemma":[0.9976512,0.0001193318,0.0006507896,0.000009902965,0.000001443433,0.000009300615,0.001124816,0.000007943319,0.0004253185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009567856,"threshold_uncertainty_score":0.00306952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112738791317475,"score_gpt":0.1939858641235752,"score_spread":0.1827119849918277,"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."}}