{"id":"W6943481517","doi":"10.15468/dl.np2a2r","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); Cover (algebra); Metadata","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":[0.001022813,0.00202941,0.001581325,0.004615864,0.00104695,0.00253356,0.002896405,0.002279547,0.1385337],"category_scores_gemma":[0.006079469,0.0009350062,0.001245104,0.009006743,0.0004599147,0.002374574,0.002570548,0.002135837,0.1976775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650148,"about_ca_system_score_gemma":0.002341509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02112519,"about_ca_topic_score_gemma":0.0344319,"domain_scores_codex":[0.9989247,0.0001464982,0.0001388051,0.0003624551,0.0002498506,0.0001776985],"domain_scores_gemma":[0.9975747,0.0006948321,0.000217151,0.0006382873,0.0005848573,0.0002901166],"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":[0.00003069911,0.00001330186,0.0003678616,0.0004914342,0.000014582,0.00001559255,0.00002267856,0.0001312107,0.0001228884,0.0003626124,0.9970427,0.001384421],"study_design_scores_gemma":[0.00008786571,0.000009687648,0.001919447,0.0002041496,0.00001478384,0.00004117555,0.00007518578,0.0001945633,0.0002094658,0.0007829792,0.9964424,0.00001819945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004670961,0.00002794878,0.00004320044,0.00004068761,0.00001283763,0.000005910921,0.9988362,0.0003836081,0.0006028275],"genre_scores_gemma":[0.0001535566,0.00003145999,0.0001840256,0.00004397936,0.000003169602,0.00004174387,0.9990284,0.0001243408,0.0003893397],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8614663,"threshold_uncertainty_score":0.4634413,"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."}}