{"id":"W6887152206","doi":"10.15468/dl.txfeje","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); Order (exchange); 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":[0.001053304,0.002042172,0.001661637,0.005071366,0.001042716,0.002759717,0.003052891,0.002140083,0.1539339],"category_scores_gemma":[0.006085148,0.0009673817,0.001266027,0.01012176,0.0004632624,0.002457173,0.002652102,0.002092992,0.213323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668462,"about_ca_system_score_gemma":0.002457031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0239263,"about_ca_topic_score_gemma":0.03800083,"domain_scores_codex":[0.9988886,0.0001513485,0.0001413675,0.0003840378,0.0002533608,0.0001813508],"domain_scores_gemma":[0.9976354,0.0006785977,0.000215214,0.0006281589,0.0005764079,0.0002662236],"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":[0.00002851539,0.00001059949,0.0003580586,0.0005271283,0.00001586246,0.00001462513,0.00002383375,0.0001279502,0.0001125837,0.000421411,0.9969554,0.001403884],"study_design_scores_gemma":[0.00006709843,0.000007030189,0.001637883,0.0001845595,0.00001421199,0.00003482525,0.00006965273,0.0001481783,0.0001830976,0.0008105902,0.9968259,0.00001708412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003897919,0.00002832807,0.00004873286,0.00003565709,0.0000115206,0.000004845321,0.9987919,0.0003994569,0.000640728],"genre_scores_gemma":[0.0001457673,0.00003336467,0.0001835502,0.00004209488,0.0000029931,0.00003624406,0.9989821,0.0001513188,0.0004225571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8460661,"threshold_uncertainty_score":0.5149602,"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."}}