{"id":"W6943099534","doi":"10.15468/dl.5knzsw","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; SAINT; Matching (statistics); State (computer science); Range (aeronautics)","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":[0.001001391,0.001907917,0.001683966,0.005491665,0.001122585,0.002939069,0.002811599,0.00222835,0.1843428],"category_scores_gemma":[0.006655586,0.001004962,0.001288738,0.01039775,0.0004574166,0.002585772,0.002694567,0.002183051,0.2432626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001753876,"about_ca_system_score_gemma":0.002563163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02080977,"about_ca_topic_score_gemma":0.03312653,"domain_scores_codex":[0.9989179,0.0001399607,0.0001487276,0.0003672336,0.0002371881,0.0001889918],"domain_scores_gemma":[0.9972362,0.0007892357,0.0002570641,0.0006876143,0.0007089305,0.0003211139],"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":[0.00002887288,0.00001063753,0.0003934534,0.0005396551,0.00001404859,0.00001332534,0.00002086389,0.0001150955,0.0001016667,0.0003456107,0.996841,0.001575746],"study_design_scores_gemma":[0.00007450772,0.00000791618,0.001834702,0.0002217277,0.00001389243,0.00003385076,0.00007276315,0.0001469586,0.0001502741,0.0007099856,0.9967166,0.00001690159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003419069,0.00002511664,0.00003458561,0.00003774213,0.00001312646,0.000005052456,0.9989828,0.0002965615,0.0005706906],"genre_scores_gemma":[0.0001439704,0.00003862349,0.000193625,0.00005181576,0.000004123545,0.00004604311,0.9988819,0.0001343933,0.0005054551],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8156571,"threshold_uncertainty_score":0.6166883,"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."}}