{"id":"W6962857341","doi":"10.15468/dl.wmq5m6","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; Range (aeronautics); State (computer science); Identification (biology)","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":[0.0009315046,0.002103664,0.001597878,0.004946444,0.001019393,0.002476725,0.002844977,0.001970083,0.1613395],"category_scores_gemma":[0.005682479,0.0009524163,0.001200048,0.009801627,0.0004639454,0.002257174,0.0026189,0.001987963,0.225794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509164,"about_ca_system_score_gemma":0.002297821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02089177,"about_ca_topic_score_gemma":0.03579326,"domain_scores_codex":[0.9989393,0.0001438795,0.0001309686,0.0003861932,0.0002233562,0.0001761652],"domain_scores_gemma":[0.9976187,0.0006510295,0.0002297201,0.0006217614,0.0005972431,0.0002814308],"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":[0.00003019634,0.00001116982,0.0003652826,0.000501989,0.0000136492,0.0000129958,0.00002090665,0.000113234,0.0001118964,0.0003414137,0.9971161,0.001361165],"study_design_scores_gemma":[0.00007599749,0.000009436008,0.001857238,0.0001791397,0.00001422525,0.00003667317,0.00006614651,0.0001376273,0.0001836149,0.0007766315,0.9966447,0.00001848441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004385427,0.00002691661,0.00004145732,0.00003161221,0.00001275175,0.000004819553,0.9988487,0.0003532163,0.0006367122],"genre_scores_gemma":[0.0001473519,0.00003182562,0.0001864133,0.00004448379,0.00000360757,0.00004049852,0.9989184,0.0001450521,0.0004824192],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8386605,"threshold_uncertainty_score":0.5397345,"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."}}