{"id":"W6943439910","doi":"10.15468/dl.md2r7b","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); Alien; 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":[0.0009935749,0.001929948,0.001639877,0.005154921,0.00102937,0.002549965,0.002735383,0.002118887,0.1560615],"category_scores_gemma":[0.005896545,0.0009221116,0.001309993,0.009865811,0.0004719489,0.00226174,0.002588928,0.001968637,0.2189172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573781,"about_ca_system_score_gemma":0.002370546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02264035,"about_ca_topic_score_gemma":0.03589242,"domain_scores_codex":[0.9989591,0.0001404768,0.0001336969,0.000363898,0.0002293077,0.0001734445],"domain_scores_gemma":[0.9974071,0.0007824001,0.00023484,0.0006716711,0.0006177538,0.0002862104],"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":[0.00003186048,0.00001309523,0.0004325672,0.000648646,0.00001617619,0.00001744632,0.00002815689,0.0001246159,0.0001466315,0.0003593052,0.9966155,0.001565987],"study_design_scores_gemma":[0.00007545418,0.000009931653,0.002291435,0.0002286536,0.00001674017,0.00004271516,0.00008885835,0.0001447546,0.0002105197,0.0006818577,0.9961902,0.00001890511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005036717,0.0000317041,0.00004276677,0.00003788449,0.0000134036,0.000006011033,0.9987902,0.0003963966,0.0006313249],"genre_scores_gemma":[0.0001690836,0.00003795654,0.0001969102,0.00004780342,0.00000368573,0.00004607564,0.9988826,0.0001492942,0.0004665459],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8439385,"threshold_uncertainty_score":0.5220779,"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."}}