{"id":"W4395417292","doi":"10.15468/52jed5","title":"Global Register of Introduced and Invasive Species - Hungary","year":2018,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Savaria (Canada)","funders":"","keywords":"Register (sociolinguistics); Invasive species; Biology; Geography; Botany; Linguistics; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00128739,0.0007570765,0.00120874,0.006494734,0.0003501975,0.001618924,0.001623576,0.0006635743,0.02663842],"category_scores_gemma":[0.006569208,0.0003811551,0.0007151156,0.01058565,0.0003205537,0.0009462729,0.001626019,0.00089527,0.01399893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00115929,"about_ca_system_score_gemma":0.002172045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01744342,"about_ca_topic_score_gemma":0.01528968,"domain_scores_codex":[0.9983797,0.0002049898,0.0004356949,0.000376234,0.0004145345,0.000188785],"domain_scores_gemma":[0.9963717,0.0006770071,0.0009434046,0.0006121015,0.001090039,0.0003057139],"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":[0.0004548526,0.00006647407,0.03157553,0.006058349,0.0002539737,0.0002457959,0.0002281811,0.0007668136,0.0004234658,0.00311275,0.9392962,0.0175175],"study_design_scores_gemma":[0.0002171738,0.00003139586,0.09042798,0.001310494,0.0001111889,0.0002173178,0.0003278926,0.0002960991,0.0005592061,0.0008437627,0.9056217,0.00003588933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001305862,0.0001948678,0.00007407324,0.00004287983,0.00002315124,0.00002542092,0.9968948,0.00007268378,0.001366248],"genre_scores_gemma":[0.00312122,0.0002581969,0.0003168485,0.00004928432,0.00001369215,0.0001390927,0.995082,0.00003283504,0.0009868715],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02663842,"threshold_uncertainty_score":0.08911437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05356074668147971,"score_gpt":0.2671125442673458,"score_spread":0.2135517975858661,"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."}}