{"id":"W6906196596","doi":"10.15468/dl.xmq5ek","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); Identification (biology)","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":[0.00090269,0.001971714,0.001591941,0.005025626,0.0009654913,0.002599841,0.002644227,0.001892996,0.1725915],"category_scores_gemma":[0.005512593,0.0009280713,0.001136837,0.009951727,0.00041126,0.002365007,0.002560061,0.001855497,0.2373067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488735,"about_ca_system_score_gemma":0.002185674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0185185,"about_ca_topic_score_gemma":0.03267526,"domain_scores_codex":[0.9989669,0.000140033,0.0001308599,0.0003709188,0.0002207047,0.0001705212],"domain_scores_gemma":[0.9976587,0.0006365868,0.0002255551,0.0006067056,0.0006039494,0.0002683972],"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":[0.00003080814,0.00001073116,0.0003449853,0.0005443694,0.000013997,0.00001321041,0.00002069276,0.0001073186,0.0001211343,0.0003920527,0.9969634,0.001437282],"study_design_scores_gemma":[0.00006342425,0.000008187502,0.001672691,0.0001762286,0.00001354585,0.00003295673,0.00005470308,0.0001142184,0.0001746418,0.0007453495,0.9969268,0.00001728511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003882672,0.00002797282,0.00004043451,0.00003051278,0.00001110025,0.000004465585,0.9988398,0.0003225429,0.0006842522],"genre_scores_gemma":[0.0001482356,0.00003608924,0.00018426,0.00004644825,0.000003621012,0.00003756722,0.9988508,0.0001437399,0.000549222],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8274084,"threshold_uncertainty_score":0.5773762,"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."}}