{"id":"W6887024035","doi":"10.15468/dl.kzta7a","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":[0.0009271327,0.002080014,0.001558394,0.004851833,0.0009907032,0.002463741,0.002790285,0.001945134,0.1612435],"category_scores_gemma":[0.005666159,0.0009385644,0.001183306,0.009683318,0.0004473751,0.002241046,0.002561627,0.001968819,0.2268854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148482,"about_ca_system_score_gemma":0.002232918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01999448,"about_ca_topic_score_gemma":0.03434434,"domain_scores_codex":[0.9989495,0.000142575,0.000130387,0.0003802315,0.0002217716,0.0001755873],"domain_scores_gemma":[0.9976283,0.0006415735,0.0002275847,0.0006254007,0.0006006577,0.0002763976],"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":[0.00003020568,0.00001100383,0.0003566198,0.0004676378,0.00001339974,0.00001286246,0.00001964636,0.0001165449,0.0001091959,0.0003440232,0.9971732,0.001345725],"study_design_scores_gemma":[0.00007617551,0.000009409358,0.001816362,0.0001696783,0.00001394126,0.00003618176,0.00006359569,0.0001445771,0.0001861782,0.0007989595,0.9966667,0.00001827765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004404255,0.00002540232,0.00004178488,0.00003128699,0.00001250768,0.000004737812,0.9988595,0.0003476372,0.0006330631],"genre_scores_gemma":[0.0001461021,0.00003033727,0.0001855251,0.00004269103,0.000003554878,0.00003928564,0.9989209,0.000143856,0.0004878185],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8387565,"threshold_uncertainty_score":0.5394133,"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."}}