{"id":"W6887285778","doi":"10.15468/dl.zew7rs","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); Set (abstract data type); Data set","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":[0.0009780457,0.001976996,0.001607685,0.004918462,0.0009055354,0.002530217,0.002737291,0.002056991,0.1530557],"category_scores_gemma":[0.005623651,0.0009239475,0.001172622,0.009566305,0.0004299616,0.002302224,0.0026118,0.001954679,0.2114081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447486,"about_ca_system_score_gemma":0.002128398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01711845,"about_ca_topic_score_gemma":0.0287753,"domain_scores_codex":[0.9989337,0.0001422324,0.0001393293,0.0003689147,0.0002394462,0.0001763048],"domain_scores_gemma":[0.9976382,0.0006518296,0.0002308907,0.0006393883,0.0005593102,0.0002804447],"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":[0.00003300886,0.00001291312,0.0003984346,0.0006078755,0.0000179598,0.00001536235,0.00002268138,0.00013725,0.0001468683,0.000400117,0.9966948,0.001512718],"study_design_scores_gemma":[0.0000814706,0.000009255007,0.001993088,0.0001996286,0.00001594011,0.00003850693,0.00006478921,0.0001529085,0.0002122676,0.0007636794,0.9964507,0.00001779372],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004230401,0.00002779807,0.00004103265,0.00003197013,0.00001083198,0.000005051023,0.9989319,0.0003451259,0.0005638427],"genre_scores_gemma":[0.0001546881,0.00003231044,0.000169836,0.00004366998,0.000003269002,0.00003717449,0.9990577,0.0001229536,0.0003784673],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8469443,"threshold_uncertainty_score":0.5120223,"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."}}