{"id":"W6887218005","doi":"10.15468/dl.ttvuwv","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); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009585283,0.001875478,0.001503687,0.004334955,0.0009378797,0.002402403,0.002803653,0.001971055,0.1482953],"category_scores_gemma":[0.005770305,0.0008960274,0.001194118,0.009029833,0.0004248684,0.002214304,0.002439653,0.001963301,0.1970468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562128,"about_ca_system_score_gemma":0.00227491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02351233,"about_ca_topic_score_gemma":0.03547326,"domain_scores_codex":[0.9990401,0.0001288174,0.0001206002,0.0003322225,0.0002208971,0.0001572475],"domain_scores_gemma":[0.9978383,0.0006137409,0.000198795,0.0005784881,0.0005224971,0.0002482107],"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":[0.00002914103,0.00001086871,0.0003686446,0.0004820922,0.00001505983,0.00001510046,0.0000226592,0.0001408634,0.0001202375,0.0004006238,0.9969565,0.001438129],"study_design_scores_gemma":[0.00007044769,0.000007689144,0.001806303,0.0001726852,0.00001412207,0.00003772268,0.00006870574,0.0001746733,0.0002095666,0.000836116,0.9965844,0.00001764317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004337711,0.00002567826,0.00005216246,0.00003640558,0.00001173133,0.000005103545,0.9987376,0.0004527974,0.0006352349],"genre_scores_gemma":[0.0001735242,0.00003086659,0.0002041881,0.00004417992,0.000003077068,0.00003956208,0.9989026,0.0001649135,0.0004371071],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8517047,"threshold_uncertainty_score":0.4960971,"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."}}