{"id":"W6943279134","doi":"10.15468/dl.ptdj5z","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); Confidentiality; Column (typography)","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":[0.0009299035,0.00195673,0.001673713,0.004924702,0.001066541,0.00261239,0.002870214,0.002083163,0.1572818],"category_scores_gemma":[0.005530298,0.0009046945,0.001262993,0.009843988,0.0004705124,0.002292031,0.002689827,0.001986456,0.2333006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684368,"about_ca_system_score_gemma":0.002386961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02536879,"about_ca_topic_score_gemma":0.04175169,"domain_scores_codex":[0.9990698,0.0001164892,0.0001152382,0.0003271954,0.000214827,0.0001564486],"domain_scores_gemma":[0.9978568,0.0005833486,0.0001936332,0.000568872,0.0005549929,0.0002422673],"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":[0.00002891178,0.00001093863,0.000383728,0.0005736099,0.00001498542,0.00001636515,0.00002829544,0.0001266544,0.0001284351,0.0003990927,0.9967268,0.001562177],"study_design_scores_gemma":[0.00006414037,0.000007450627,0.001799436,0.0001881474,0.00001360102,0.00003674812,0.00008031719,0.000144064,0.0001735396,0.0006817508,0.9967937,0.00001714686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004602245,0.0000304097,0.00004976669,0.00003602209,0.00001289108,0.000005512515,0.998669,0.0004557284,0.0006947198],"genre_scores_gemma":[0.0001631379,0.00003531118,0.0002127407,0.00004236133,0.00000331416,0.0000425225,0.9988642,0.0001654464,0.000470987],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8427181,"threshold_uncertainty_score":0.5261602,"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."}}