{"id":"W6962112823","doi":"10.15468/dl.qyh24f","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); Column (typography)","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":[0.001009153,0.001859921,0.001564418,0.004878775,0.0009980376,0.002686788,0.002800583,0.002079174,0.1583808],"category_scores_gemma":[0.006375482,0.0009122003,0.00114154,0.009825721,0.0004217773,0.002580675,0.002496862,0.002076547,0.2158419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594431,"about_ca_system_score_gemma":0.002263737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0200112,"about_ca_topic_score_gemma":0.03506087,"domain_scores_codex":[0.998896,0.0001596983,0.0001401495,0.0003882574,0.0002435705,0.0001723723],"domain_scores_gemma":[0.9973673,0.0007550701,0.0002452855,0.000700996,0.0006429364,0.0002883557],"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":[0.00002709742,0.00001070943,0.0003497988,0.0004993707,0.00001385724,0.00001359392,0.00002136425,0.0001183581,0.00009513353,0.0004021883,0.9971527,0.001295744],"study_design_scores_gemma":[0.0000645972,0.00000699397,0.001623706,0.0001755887,0.00001224952,0.00003245243,0.00006660046,0.0001375668,0.0001526934,0.000813087,0.9968981,0.00001644023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003893354,0.00002640283,0.00004604713,0.00003817853,0.00001154993,0.000004972179,0.998813,0.0003445395,0.0006763467],"genre_scores_gemma":[0.0001618579,0.00003414585,0.0002032181,0.0000468148,0.000003518045,0.00004138494,0.9988493,0.0001460341,0.000513727],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8416192,"threshold_uncertainty_score":0.5298366,"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."}}