{"id":"W6924785359","doi":"10.15468/dl.wuw4w6","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); Range (aeronautics); State (computer science); 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":[0.001020845,0.002065,0.001555735,0.005002453,0.001044904,0.002498858,0.002948892,0.002206114,0.1515588],"category_scores_gemma":[0.005829859,0.0009287143,0.00119741,0.009562926,0.0004871071,0.002452742,0.0025839,0.002122172,0.210751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604453,"about_ca_system_score_gemma":0.002295441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02079048,"about_ca_topic_score_gemma":0.03603956,"domain_scores_codex":[0.9989262,0.0001579073,0.0001348467,0.0003831799,0.0002257885,0.0001720635],"domain_scores_gemma":[0.9974094,0.0007365472,0.0002374561,0.0007086859,0.0006198816,0.0002880775],"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":[0.00002869035,0.00001299655,0.0003720335,0.0005233531,0.00001446539,0.00001580359,0.00002538522,0.0001377758,0.0001154787,0.0003910364,0.9969913,0.001371619],"study_design_scores_gemma":[0.00007275817,0.00000828648,0.001726595,0.0001765676,0.00001347217,0.00003868774,0.00007906341,0.0001612051,0.000185091,0.0008097451,0.9967102,0.00001826693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004853492,0.00002854013,0.00005163954,0.00003874139,0.00001367041,0.000006017974,0.9987159,0.0004040026,0.0006929268],"genre_scores_gemma":[0.0001693851,0.00003145798,0.0002193248,0.00004567394,0.000003583493,0.00004492914,0.9988855,0.0001462029,0.0004540102],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8484412,"threshold_uncertainty_score":0.5070145,"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."}}