{"id":"W6887310665","doi":"10.15468/dl.upjrfa","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":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.001009506,0.002013785,0.001723473,0.005176738,0.0009930667,0.002605876,0.002907873,0.002059066,0.1552426],"category_scores_gemma":[0.005876493,0.000955006,0.001182926,0.01030509,0.0004562326,0.002242656,0.0025578,0.002027078,0.2196999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620734,"about_ca_system_score_gemma":0.002439911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02243867,"about_ca_topic_score_gemma":0.03629378,"domain_scores_codex":[0.9989505,0.0001425903,0.000134042,0.0003565624,0.0002467286,0.0001695201],"domain_scores_gemma":[0.9976525,0.0006547879,0.0002239808,0.0005985285,0.000598217,0.0002720464],"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":[0.00002859541,0.0000109476,0.0003581222,0.000557746,0.00001593436,0.00001416179,0.00002361067,0.0001276876,0.0001239819,0.0003855842,0.9969233,0.001430298],"study_design_scores_gemma":[0.00007313377,0.000007343272,0.001785754,0.0001915749,0.00001467556,0.00003439893,0.00006901916,0.0001400824,0.0001937001,0.0007709063,0.9967018,0.0000176169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003709584,0.00002674064,0.00004179605,0.00003080545,0.00001018072,0.000004568859,0.9989321,0.0003454345,0.000571375],"genre_scores_gemma":[0.0001477643,0.00003249696,0.0001844827,0.00003857082,0.000002967502,0.00003758986,0.9989943,0.0001407242,0.0004211919],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8447574,"threshold_uncertainty_score":0.5193383,"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."}}