{"id":"W6943519414","doi":"10.15468/dl.u9kj3p","title":"Occurrence Download","year":2023,"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); Process (computing); State (computer science)","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":[0.0009733847,0.001994233,0.00154183,0.004925095,0.0009844679,0.002416823,0.00280488,0.001981038,0.1453818],"category_scores_gemma":[0.005410871,0.0008967338,0.001146281,0.01000402,0.0004510943,0.002201065,0.002502932,0.001978887,0.2058542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652015,"about_ca_system_score_gemma":0.0023697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02468285,"about_ca_topic_score_gemma":0.04104922,"domain_scores_codex":[0.9990268,0.0001250486,0.0001257621,0.0003323762,0.0002261377,0.0001639022],"domain_scores_gemma":[0.9977129,0.0006327407,0.0002229539,0.0005981773,0.0005702495,0.000262948],"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":[0.00002718998,0.00001156868,0.0004010278,0.0005049806,0.00001460278,0.00001566928,0.0000270191,0.0001367842,0.0001270187,0.0004192303,0.9968389,0.001475938],"study_design_scores_gemma":[0.00006322791,0.000007042738,0.00182484,0.0001667124,0.00001276509,0.000035027,0.00007375199,0.0001465507,0.0001907636,0.0006975015,0.9967651,0.00001663088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004397103,0.00002426117,0.00004733239,0.00003276156,0.00001112573,0.000004988045,0.9988154,0.0003834571,0.0006366594],"genre_scores_gemma":[0.0001581226,0.00002908676,0.0001969073,0.00003807809,0.000002933868,0.00003737387,0.9989729,0.0001455732,0.0004191685],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8546182,"threshold_uncertainty_score":0.4863506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}