{"id":"W6943315526","doi":"10.15468/dl.k6wez6","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)","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":[0.001097777,0.001966619,0.001698781,0.005322333,0.001029012,0.002796029,0.002989167,0.002016188,0.1784861],"category_scores_gemma":[0.006517616,0.001007474,0.001202941,0.01091713,0.0004638881,0.002367473,0.002729671,0.002038188,0.2390182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540211,"about_ca_system_score_gemma":0.002368198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02012618,"about_ca_topic_score_gemma":0.03303327,"domain_scores_codex":[0.9988611,0.0001525253,0.0001496208,0.0003971461,0.0002531195,0.0001864268],"domain_scores_gemma":[0.9973195,0.0007706514,0.000251366,0.0007155317,0.0006437704,0.0002992057],"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":[0.00002725885,0.00001026218,0.0003557641,0.0005449603,0.00001538998,0.00001415984,0.00002475545,0.0001159769,0.0001123676,0.0003756805,0.9970401,0.001363441],"study_design_scores_gemma":[0.00006684534,0.00000715731,0.001736067,0.0001960051,0.00001467392,0.00003575057,0.00007544765,0.0001279527,0.0001778703,0.0007593374,0.9967853,0.00001759954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003606029,0.00002395759,0.00004409044,0.00003094878,0.00001088864,0.000004486657,0.99892,0.0003449454,0.000584675],"genre_scores_gemma":[0.000148242,0.0000323628,0.0001921598,0.00004019148,0.000003191545,0.00003969218,0.998926,0.0001693044,0.0004488013],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8215139,"threshold_uncertainty_score":0.5970954,"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."}}