{"id":"W6887030319","doi":"10.15468/dl.kmmexs","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type); Legibility","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":[0.001041285,0.001901632,0.001594576,0.004886203,0.001047784,0.002557919,0.002923519,0.002139835,0.1707074],"category_scores_gemma":[0.006715933,0.00096684,0.001217454,0.00935012,0.0004557024,0.002388875,0.002766824,0.002064995,0.2202245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645958,"about_ca_system_score_gemma":0.002549897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02188591,"about_ca_topic_score_gemma":0.03378242,"domain_scores_codex":[0.9989261,0.0001376875,0.0001384258,0.0003719127,0.0002460745,0.0001799003],"domain_scores_gemma":[0.9974905,0.0007137718,0.0002341523,0.0006596285,0.0006190797,0.0002829314],"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":[0.00002725615,0.00001050126,0.0003843354,0.0004926563,0.00001444734,0.0000144287,0.0000240803,0.0001295367,0.0001079718,0.000397291,0.9969497,0.001447732],"study_design_scores_gemma":[0.00007010441,0.00000739184,0.001654201,0.0001903104,0.00001442042,0.00003469487,0.0000713074,0.0001557197,0.0001885476,0.0008461446,0.9967498,0.00001737804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003738422,0.00002370016,0.00004835857,0.00003735165,0.00001242406,0.000005292015,0.9988103,0.0004090827,0.0006161553],"genre_scores_gemma":[0.000161254,0.00003252305,0.0002302306,0.00004710298,0.000003374399,0.00004518119,0.9988168,0.0001747388,0.0004887534],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8292926,"threshold_uncertainty_score":0.5710732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}