{"id":"W6887047016","doi":"10.15468/dl.nvp8z2","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); The Internet","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":[0.001050081,0.001999255,0.001578097,0.004942819,0.001044012,0.002585253,0.00286639,0.002194472,0.1583373],"category_scores_gemma":[0.006386617,0.0009399533,0.001309582,0.009357464,0.000470248,0.00242475,0.00261089,0.002128446,0.2196625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621297,"about_ca_system_score_gemma":0.00240348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02228632,"about_ca_topic_score_gemma":0.03569109,"domain_scores_codex":[0.9988865,0.0001567963,0.0001391655,0.0003905222,0.0002423331,0.0001846365],"domain_scores_gemma":[0.9972463,0.0008167445,0.0002380317,0.0007524727,0.0006462084,0.0003002616],"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":[0.00002997283,0.00001238149,0.0003683361,0.0005112814,0.00001424188,0.00001476735,0.0000234615,0.0001283145,0.0001204296,0.0003705072,0.9970261,0.001380222],"study_design_scores_gemma":[0.00007445926,0.000009436013,0.001952797,0.0002007973,0.0000151267,0.00003851345,0.00007988686,0.0001655207,0.0002062127,0.000827481,0.9964104,0.00001936406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004312457,0.00002482184,0.00004605531,0.00003808105,0.00001242704,0.00000569008,0.9988294,0.0003968507,0.0006035298],"genre_scores_gemma":[0.0001557264,0.00003088787,0.0002030597,0.00004522021,0.00000333046,0.00004260465,0.9989344,0.0001471007,0.0004376833],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8416627,"threshold_uncertainty_score":0.529691,"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."}}