{"id":"W6924675809","doi":"10.15468/dl.q5ngku","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":"Download; Matching (statistics); 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":[0.0009586106,0.001984081,0.001529589,0.005107872,0.001017995,0.002507259,0.002647438,0.002091796,0.1577294],"category_scores_gemma":[0.005905809,0.0008675792,0.001235118,0.009444642,0.0004570941,0.002281217,0.002546516,0.001958701,0.2279705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517865,"about_ca_system_score_gemma":0.002312994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02195463,"about_ca_topic_score_gemma":0.0345025,"domain_scores_codex":[0.999005,0.0001403485,0.0001230848,0.0003472,0.0002156519,0.0001686825],"domain_scores_gemma":[0.9974796,0.0007485313,0.0002177499,0.0006532543,0.0006223139,0.0002785576],"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":[0.0000283511,0.00001191057,0.0003951962,0.0005222936,0.0000131008,0.0000157925,0.00002378643,0.0001267145,0.0001132061,0.000329787,0.9969344,0.001485539],"study_design_scores_gemma":[0.0000741933,0.00000977843,0.002010698,0.0002114611,0.00001441534,0.00003916915,0.00008671528,0.0001765068,0.0001971987,0.0007653341,0.996396,0.00001851137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004922719,0.0000291499,0.00004576277,0.00004060835,0.00001421108,0.000006101056,0.9987544,0.0004195783,0.0006409913],"genre_scores_gemma":[0.000172191,0.00003495627,0.0002055102,0.00004812294,0.000004078923,0.00004693489,0.9988544,0.0001493679,0.0004844973],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8422706,"threshold_uncertainty_score":0.5276573,"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."}}