{"id":"W2514042794","doi":"10.1093/conphys/cow030","title":"Understanding invasion history and predicting invasive niches using genetic sequencing technology in Australia: case studies from Cucurbitaceae and Boraginaceae","year":2016,"lang":"en","type":"review","venue":"Conservation Physiology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity Western University; Western University","funders":"Charles Sturt University; Grains Research and Development Corporation; Australian Research Council; Univerzita Karlova v Praze","keywords":"Biology; Genetic diversity; Cucurbitaceae; Ecology; Evolutionary biology; Population; Botany","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001208809,0.0003280616,0.0007305355,0.0002583675,0.0001260533,0.00001139305,0.0001101019,0.0005694915,0.000008953631],"category_scores_gemma":[0.000261509,0.0002933387,0.00006170395,0.0001286001,0.0004251369,0.00001293135,0.0003196321,0.0002156682,0.000001408791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003660797,"about_ca_system_score_gemma":0.0002826266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001949366,"about_ca_topic_score_gemma":0.000246291,"domain_scores_codex":[0.9983877,0.0002438835,0.0004234085,0.0006549503,0.00006002761,0.0002300174],"domain_scores_gemma":[0.9990301,0.0001626577,0.0004070986,0.0002672446,0.000079614,0.00005333078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005317557,0.0002225892,0.2429316,0.05481287,0.008895893,0.005405063,0.01178171,0.0006317404,0.5326607,0.004138173,0.01354831,0.1244396],"study_design_scores_gemma":[0.01279892,0.002132931,0.01632862,0.06001313,0.007690453,0.02522438,0.02810225,0.0007948483,0.004352675,0.09906989,0.7322258,0.01126616],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.449242,0.5502326,0.00006371064,0.00003204507,0.0001617949,0.0002199618,0.00003654847,0.00000895378,0.000002343613],"genre_scores_gemma":[0.1301602,0.8686364,0.000805325,0.00008839424,0.0001114517,0.00001695937,0.0001136063,0.00002440165,0.00004326074],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7186775,"threshold_uncertainty_score":0.9999519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2586037520533766,"score_gpt":0.3363738600761139,"score_spread":0.07777010802273726,"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."}}