{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003004029,0.001391441,0.001127046,0.007675863,0.0006969988,0.001284412,0.00117228,0.0005779468,0.1981626],"category_scores_gemma":[0.0008496382,0.0004158659,0.0004377006,0.008694042,0.0002082843,0.00096214,0.001228021,0.0007559529,0.09302864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005618385,"about_ca_system_score_gemma":0.0012788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04095069,"about_ca_topic_score_gemma":0.0936788,"domain_scores_codex":[0.9997299,0.00001508298,0.00004514777,0.00006252284,0.0001020544,0.0000452947],"domain_scores_gemma":[0.9991977,0.0001309785,0.0001742894,0.0001047535,0.0002561485,0.0001362767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002359437,0.00009182635,0.005399266,0.004228115,0.00008642187,0.0002651861,0.0002564491,0.0002546954,0.002265122,0.001208527,0.9116818,0.07402672],"study_design_scores_gemma":[0.00003367196,0.00001252313,0.01692039,0.0003985694,0.00004192521,0.0001936352,0.0001070814,0.0001186329,0.0003349071,0.0005771552,0.9812431,0.00001843803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002156144,0.001430018,0.0004420842,0.0001256604,0.0001022375,0.00007148202,0.9626704,0.001712586,0.03128942],"genre_scores_gemma":[0.004326429,0.001032003,0.001946617,0.00009422905,0.00002791772,0.00006675955,0.9842421,0.000300104,0.007963769],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8018374,"threshold_uncertainty_score":0.6629198,"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."}}