{"id":"W6886958610","doi":"10.15468/dl.kgts33","title":"Occurrence Download","year":2022,"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; Alien; Range (aeronautics); State (computer science)","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":[0.0009378086,0.002005759,0.001525149,0.004907354,0.000962086,0.00248753,0.002565306,0.001914797,0.1703474],"category_scores_gemma":[0.006283348,0.0008862439,0.001184791,0.0097476,0.0004304135,0.00216082,0.002481764,0.00178915,0.2221741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480286,"about_ca_system_score_gemma":0.002276744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02078149,"about_ca_topic_score_gemma":0.0325574,"domain_scores_codex":[0.9989523,0.0001414159,0.0001342146,0.0003796124,0.0002184319,0.0001740584],"domain_scores_gemma":[0.9974946,0.0007341372,0.0002412571,0.0006317334,0.0006183258,0.0002799912],"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":[0.00003178277,0.00001084212,0.0003990045,0.000521583,0.00001388636,0.00001374339,0.00002072227,0.0001255916,0.0001090282,0.000346223,0.9969808,0.001426711],"study_design_scores_gemma":[0.000078658,0.0000102163,0.001891616,0.00019065,0.00001514985,0.00003475265,0.00006545057,0.0001593156,0.0001853567,0.0008005403,0.99655,0.00001833602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004240697,0.00002497089,0.00003890989,0.00003372493,0.00001208725,0.000005033036,0.9988492,0.0003733035,0.0006204165],"genre_scores_gemma":[0.0001682062,0.00003432226,0.000191773,0.00004826193,0.000003833453,0.00004399696,0.9988488,0.0001591657,0.0005015208],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8296526,"threshold_uncertainty_score":0.5698687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}