{"id":"W6924349287","doi":"10.15468/dl.k6qfwb","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); Order (exchange)","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":[0.001024589,0.001950585,0.001631372,0.005167603,0.001035068,0.002672052,0.002840576,0.002049201,0.162386],"category_scores_gemma":[0.006093757,0.0009576985,0.001150181,0.01025759,0.0004607064,0.002451905,0.0026271,0.002077643,0.219923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574429,"about_ca_system_score_gemma":0.002371951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02169729,"about_ca_topic_score_gemma":0.03724014,"domain_scores_codex":[0.9989247,0.0001472133,0.0001348974,0.0003727317,0.0002456081,0.0001748277],"domain_scores_gemma":[0.9974323,0.0007252726,0.0002384335,0.0006809256,0.0006214191,0.0003017361],"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":[0.00002764229,0.00001090393,0.0003585021,0.000509698,0.00001391365,0.00001451097,0.00002389627,0.0001137917,0.0001083379,0.0003981057,0.9971218,0.001298964],"study_design_scores_gemma":[0.0000684974,0.00000699254,0.001727462,0.00017652,0.00001259375,0.00003423255,0.00007026375,0.000126866,0.0001696352,0.0007673537,0.9968226,0.00001699261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003950638,0.0000247465,0.00004492724,0.00003399047,0.00001107451,0.000005105487,0.9988204,0.0003568371,0.0006635241],"genre_scores_gemma":[0.000157397,0.00003187174,0.0001958749,0.00004342384,0.000003350982,0.00004180891,0.9988776,0.0001562617,0.0004923669],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.837614,"threshold_uncertainty_score":0.5432352,"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."}}