{"id":"W6962877329","doi":"10.15468/dl.wenza3","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); Alien; 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":[],"consensus_categories":[],"category_scores_codex":[0.001007752,0.001997939,0.00158044,0.004814272,0.001035912,0.002610845,0.002823168,0.002177431,0.159717],"category_scores_gemma":[0.00615597,0.0009107973,0.001274292,0.009007114,0.0004447202,0.002457653,0.002556867,0.002027585,0.2203696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614121,"about_ca_system_score_gemma":0.002321283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02254623,"about_ca_topic_score_gemma":0.03521003,"domain_scores_codex":[0.9989606,0.0001503828,0.0001268327,0.0003683674,0.0002225472,0.0001711905],"domain_scores_gemma":[0.9974196,0.000770387,0.0002196725,0.0006883008,0.0006252323,0.0002767916],"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":[0.00002864955,0.00001228121,0.0003903203,0.0005118356,0.00001415121,0.00001561987,0.00002252461,0.0001242172,0.0001120592,0.0003512056,0.9970347,0.001382406],"study_design_scores_gemma":[0.00007457464,0.000009591664,0.001981374,0.0002071479,0.00001500683,0.00003964136,0.00008173108,0.0001795427,0.0002014015,0.0008047958,0.9963863,0.00001895294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004526359,0.00002859843,0.00004673922,0.00004217092,0.00001337094,0.00000617652,0.9987699,0.000423931,0.0006236974],"genre_scores_gemma":[0.0001697529,0.00003422708,0.0002014624,0.00005145424,0.000003990513,0.00004696696,0.998866,0.0001487619,0.0004775012],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.159717,"threshold_uncertainty_score":0.5343065,"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."}}