{"id":"W7098256615","doi":"","title":"canadensis. – From: Online Database of the North European and Baltic Network on Invasive Alien Species –","year":2015,"lang":"en","type":"article","venue":"","topic":"Plant-based Medicinal Research","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Alien; Alien species; Subspecies; Identification (biology); NOMINATE; Goose; Waterfowl; Race (biology)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077327,0.0001370708,0.000198948,0.00004623872,0.0001042726,0.000006809495,0.0003446586,0.0000601539,0.0005227563],"category_scores_gemma":[0.0008963703,0.00008786576,0.00002877883,0.0001876341,0.0003593399,0.00003827962,0.0002521886,0.0006403657,0.00007519691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005659094,"about_ca_system_score_gemma":0.0003505533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001814618,"about_ca_topic_score_gemma":0.03129273,"domain_scores_codex":[0.9980479,0.0008418348,0.0002162199,0.0002234902,0.0003164992,0.0003539818],"domain_scores_gemma":[0.9977819,0.001299922,0.00008449055,0.0002851135,0.0001128679,0.000435732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001313694,0.000422067,0.3535051,0.00007095663,0.000315744,0.0006351222,0.0009258909,0.001524191,0.009175868,0.001321173,0.627444,0.003346192],"study_design_scores_gemma":[0.005321247,0.0007166234,0.5423467,0.0002152431,0.0003966011,0.00004840382,0.001330419,0.002292889,0.02179325,0.0001947979,0.4248925,0.0004513148],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683571,0.0003700136,0.000006221461,0.002484192,0.0005325867,0.0002601481,0.0008053815,0.00001791272,0.02716643],"genre_scores_gemma":[0.9881843,0.0003122993,0.0001191858,0.007714998,0.0004646695,0.000002636959,0.0002146264,0.00001461151,0.002972695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2025515,"threshold_uncertainty_score":0.9863837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2682362608958394,"score_gpt":0.4233804923399305,"score_spread":0.1551442314440911,"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."}}