{"id":"W6905668418","doi":"10.15468/dl.kft53b","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics); Data source","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":[0.0009623257,0.001864613,0.001494986,0.004949467,0.001010279,0.002486324,0.002642227,0.002106908,0.1539233],"category_scores_gemma":[0.005881411,0.0008642191,0.001220756,0.009588215,0.000438934,0.002255014,0.002441633,0.001963979,0.2199691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599942,"about_ca_system_score_gemma":0.002370453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02344596,"about_ca_topic_score_gemma":0.03736881,"domain_scores_codex":[0.99893,0.0001466482,0.0001336917,0.0003693065,0.0002413809,0.0001788529],"domain_scores_gemma":[0.9973635,0.0007496551,0.0002350798,0.0006956191,0.0006626916,0.000293439],"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":[0.00002778088,0.00001197404,0.000409711,0.0004753892,0.00001311161,0.00001470284,0.00002338776,0.0001201302,0.0001154984,0.0003559164,0.9970328,0.00139964],"study_design_scores_gemma":[0.00006618159,0.000008757444,0.002107346,0.0001902014,0.00001331616,0.00003688204,0.00008146571,0.0001568214,0.0001908803,0.0007231711,0.9964071,0.00001790667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004551648,0.0000242234,0.00004046185,0.00003694317,0.00001213389,0.000005133268,0.9988796,0.0003354474,0.0006205064],"genre_scores_gemma":[0.0001671328,0.00003060557,0.0001867075,0.00004269863,0.00000349967,0.0000404372,0.9989148,0.000128549,0.0004855292],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8460767,"threshold_uncertainty_score":0.5149248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}