{"id":"W6887208110","doi":"10.15468/dl.rabuqm","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); The Internet; Range (aeronautics); Alien","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":[0.001044751,0.00191049,0.001601333,0.005165506,0.001022561,0.002533958,0.002804604,0.002074459,0.1547566],"category_scores_gemma":[0.006272354,0.0009041039,0.001264803,0.01018657,0.0004612109,0.002246509,0.002552562,0.001977875,0.2207456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606342,"about_ca_system_score_gemma":0.002467093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02381424,"about_ca_topic_score_gemma":0.03763482,"domain_scores_codex":[0.9989114,0.0001494581,0.0001334734,0.0003771527,0.000247194,0.000181264],"domain_scores_gemma":[0.9972726,0.0008068313,0.0002415408,0.0007134477,0.0006677156,0.0002978379],"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":[0.0000289434,0.00001214134,0.0004022846,0.0005648489,0.00001497619,0.00001529463,0.0000254242,0.0001200211,0.0001235184,0.0003547719,0.9968846,0.00145309],"study_design_scores_gemma":[0.00007244973,0.000009481085,0.0021363,0.0002112067,0.00001592375,0.00003771036,0.00008353399,0.000143746,0.0001985436,0.0007093499,0.9963636,0.00001812409],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004739869,0.00003002917,0.00004243107,0.00003865375,0.00001274275,0.000005743395,0.9987897,0.0003917709,0.0006416255],"genre_scores_gemma":[0.0001680035,0.00003618917,0.0001877513,0.00004749882,0.000003660422,0.00004499663,0.9988779,0.0001493186,0.0004845566],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8452433,"threshold_uncertainty_score":0.5177125,"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."}}