{"id":"W6962242505","doi":"10.15468/dl.svuvpg","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); The Internet","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":[0.0009903178,0.001971957,0.001555787,0.004598882,0.001046909,0.002536758,0.00273172,0.002158263,0.1551464],"category_scores_gemma":[0.006143321,0.0009021947,0.001319587,0.008625691,0.000456902,0.002425747,0.002601705,0.002029573,0.2159038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510037,"about_ca_system_score_gemma":0.002250076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02039769,"about_ca_topic_score_gemma":0.03370691,"domain_scores_codex":[0.9989623,0.0001494238,0.0001296036,0.0003683417,0.0002235704,0.0001668374],"domain_scores_gemma":[0.9974275,0.0007724494,0.0002190509,0.000701069,0.0005954133,0.000284505],"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":[0.00003094879,0.00001270594,0.0003828346,0.0005375129,0.00001448406,0.00001557667,0.00002363377,0.0001330753,0.000122548,0.0003439138,0.9969454,0.001437337],"study_design_scores_gemma":[0.00008067712,0.00001052904,0.001996371,0.0002041531,0.00001538088,0.00004083841,0.00008285177,0.0001902058,0.0002071372,0.0008163836,0.9963361,0.00001938248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005262002,0.00003095838,0.00005035245,0.00004675513,0.00001564396,0.00000673574,0.9986537,0.0004764243,0.0006668165],"genre_scores_gemma":[0.0001771397,0.00003598028,0.0002239697,0.00005292109,0.000004054342,0.00004791712,0.9988141,0.0001578414,0.0004860747],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8448536,"threshold_uncertainty_score":0.5190164,"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."}}