{"id":"W6906148038","doi":"10.15468/dl.z45acc","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); Range (aeronautics); Data set; Set (abstract data type)","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":[0.0008984918,0.001914481,0.001537092,0.004928316,0.0009064828,0.00234368,0.002648934,0.001940814,0.1429779],"category_scores_gemma":[0.005271943,0.0008772672,0.001119812,0.009884208,0.0004258702,0.002074977,0.002371454,0.001917048,0.1992755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542959,"about_ca_system_score_gemma":0.002173173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02339582,"about_ca_topic_score_gemma":0.03734805,"domain_scores_codex":[0.999082,0.0001196745,0.0001178857,0.0003125004,0.0002142062,0.0001536541],"domain_scores_gemma":[0.9978521,0.000601648,0.0002134323,0.0005583109,0.000524967,0.0002496851],"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":[0.00002871487,0.00001140949,0.0004156844,0.0005326829,0.00001598184,0.00001524387,0.00002611491,0.0001515432,0.0001286494,0.0004001139,0.9966983,0.001575481],"study_design_scores_gemma":[0.00007006195,0.000007756611,0.002048166,0.0001815128,0.00001475344,0.00003725667,0.00007532747,0.0001690388,0.0001983651,0.0007205697,0.9964595,0.0000176677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004441144,0.00002585866,0.00004519604,0.00003194373,0.00001075929,0.000004553103,0.9989098,0.0003595296,0.0005678717],"genre_scores_gemma":[0.0001674973,0.00003145525,0.0001917861,0.00003651181,0.000003050875,0.00003627822,0.9989827,0.0001370258,0.0004137395],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8570221,"threshold_uncertainty_score":0.4783087,"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."}}