{"id":"W6906057205","doi":"10.15468/dl.t3ukte","title":"Occurrence Download","year":2019,"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); 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":[0.001052242,0.001970235,0.001639607,0.006085933,0.0009777779,0.002663023,0.002808788,0.001875273,0.1910114],"category_scores_gemma":[0.006254167,0.0009349398,0.001174461,0.0113936,0.0004327179,0.002468331,0.002968905,0.001946353,0.2718658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589828,"about_ca_system_score_gemma":0.002520249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02322533,"about_ca_topic_score_gemma":0.04066205,"domain_scores_codex":[0.9987952,0.0001535792,0.0001580601,0.0004110728,0.0002763783,0.000205719],"domain_scores_gemma":[0.9971833,0.0007046848,0.0002727807,0.0007197405,0.0007744033,0.0003450281],"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":[0.00002699589,0.00000837772,0.0003045492,0.0005011153,0.00001339663,0.00001224316,0.00002141361,0.00008333015,0.0001046801,0.000362642,0.9972135,0.001347741],"study_design_scores_gemma":[0.00005516118,0.00000660699,0.001601611,0.0001733754,0.00001279481,0.00002970364,0.00006138037,0.00009064755,0.0001659256,0.0006921964,0.9970948,0.00001588348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002998597,0.00002299371,0.00003918986,0.00002858401,0.000009829436,0.00000471707,0.9988558,0.0003382864,0.000670615],"genre_scores_gemma":[0.0001312373,0.00003324006,0.0001772486,0.00004407554,0.000003440818,0.00003739302,0.9988948,0.0001661824,0.000512399],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8089886,"threshold_uncertainty_score":0.638997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}