{"id":"W4395855580","doi":"10.15468/dl.bp7xmb","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.0008727667,0.002186592,0.001646957,0.004631375,0.0009979265,0.002563794,0.002879579,0.00221975,0.1344398],"category_scores_gemma":[0.005028156,0.0008729742,0.001203617,0.009048344,0.0004404475,0.00236161,0.002416768,0.002040185,0.2018925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672405,"about_ca_system_score_gemma":0.002174577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02426752,"about_ca_topic_score_gemma":0.03998929,"domain_scores_codex":[0.9989597,0.0001386362,0.0001253727,0.0003514351,0.0002517249,0.0001731166],"domain_scores_gemma":[0.9981554,0.0004884202,0.0001644812,0.0004780987,0.0004779836,0.0002356278],"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":[0.00003038034,0.00001294386,0.0003382493,0.0004266642,0.00001377756,0.0000153655,0.00001859332,0.0001365967,0.00009892138,0.0003295443,0.9972645,0.001314464],"study_design_scores_gemma":[0.0000915397,0.000009300602,0.00193703,0.0001669267,0.00001378315,0.00004369283,0.00007214324,0.0002551266,0.000203167,0.0008288848,0.9963605,0.00001806599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005113659,0.00003133994,0.00004511475,0.00003773845,0.00001068291,0.00000554681,0.9987361,0.0004473612,0.0006349984],"genre_scores_gemma":[0.000165118,0.00003012175,0.0001635156,0.00004085286,0.000003067247,0.00003385358,0.9990477,0.0001254847,0.000390284],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8655602,"threshold_uncertainty_score":0.4497459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089755290457145,"score_gpt":0.2074791423433098,"score_spread":0.1965815894387384,"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."}}