{"id":"W1987831208","doi":"10.1672/1-20","title":"Saltcedar: Distribution, abundance, and dispersal mechanisms, northern Montana, USA","year":2003,"lang":"en","type":"article","venue":"Wetlands","topic":"Ecology and Conservation Studies","field":"Agricultural and Biological Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Western University","funders":"U.S. Army Corps of Engineers; University of Calgary","keywords":"Recreation; Tamarix; Shore; Biological dispersal; San Joaquin; Geography; Hydrology (agriculture); Abundance (ecology); Archaeology; Forestry; Ecology; Environmental science; Geology; Fishery; Biology; Population","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002135918,0.0001654006,0.0001747553,0.0009842423,0.0006570012,0.0003929845,0.0004843536,0.000166594,0.002181496],"category_scores_gemma":[0.0003281776,0.00007215134,0.00007784861,0.001352053,0.0004079395,0.0003566427,0.0004373978,0.000160771,0.0004064669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009316351,"about_ca_system_score_gemma":0.0007895548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1600376,"about_ca_topic_score_gemma":0.4824485,"domain_scores_codex":[0.9998913,0.00001864009,0.000006570488,0.0000408803,0.00002865834,0.00001405892],"domain_scores_gemma":[0.9996709,0.00004866693,0.00008062003,0.0000156753,0.000110165,0.00007402944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002301037,0.00009848723,0.9629135,0.00004296184,0.00007067219,0.0001661342,0.0008598869,0.0002229931,0.00342907,0.0002083325,0.003072418,0.02868548],"study_design_scores_gemma":[0.000008025478,0.00001643252,0.9974807,0.000004882609,0.00001347399,0.00007342703,0.0004701503,0.0003268791,0.0001448539,0.00004431082,0.001413675,0.000003143911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994253,0.0003261404,0.0002466316,0.0001751569,0.000004154023,0.00001794099,0.001829399,0.00006607297,0.003081494],"genre_scores_gemma":[0.9911419,0.0003081706,0.001236477,0.00009080987,0.00001216789,0.00003218944,0.003081311,0.00001666333,0.004080331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1600376,"threshold_uncertainty_score":0.3182121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106097664168823,"score_gpt":0.1961796788155055,"score_spread":0.1851187021738173,"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."}}