{"id":"W2187580888","doi":"","title":"Estimating genetic flow between exotic and native poplar species in Québec","year":2008,"lang":"en","type":"article","venue":"","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Introduced species; Ecology; Flow (mathematics); Invasive species; Environmental science; Biology; Mathematics","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":[0.0009164211,0.0001930311,0.0002891388,0.001206436,0.001724,0.0007579413,0.0006549101,0.0003625889,0.001819858],"category_scores_gemma":[0.002136594,0.0001399725,0.0001898631,0.001577264,0.0005817442,0.0002921534,0.0004132251,0.0004303989,0.0001714726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01958263,"about_ca_system_score_gemma":0.009302482,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9936817,"about_ca_topic_score_gemma":0.9965293,"domain_scores_codex":[0.9996454,0.00008707609,0.0000160596,0.00009869988,0.00006091867,0.00009189712],"domain_scores_gemma":[0.998404,0.0003625858,0.0001634171,0.00008011795,0.0007349103,0.000254938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002041415,0.00005792293,0.9743157,0.00001942649,0.0001054834,0.0001095484,0.000995553,0.004007791,0.001563013,0.0005153401,0.001177675,0.01692849],"study_design_scores_gemma":[0.00001908769,0.00002612526,0.9896123,0.00002804987,0.00002445121,0.00002565548,0.0007978879,0.007289834,0.0002528235,0.0000634651,0.001850635,0.00000983119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971455,0.0001949934,0.0006216944,0.0001137467,0.00000454598,0.00001794149,0.0006089883,0.000009019867,0.001283718],"genre_scores_gemma":[0.9967661,0.00009429434,0.000642851,0.00004193187,0.000001952142,0.00001221703,0.0007210464,0.000005350087,0.001714338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9936817,"threshold_uncertainty_score":0.1420826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04601961933711087,"score_gpt":0.2011409769227289,"score_spread":0.155121357585618,"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."}}