{"id":"W6943527603","doi":"10.15468/dl.yaxekq","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); Confidentiality; Order (exchange)","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":[0.001122446,0.001988453,0.001680993,0.005407131,0.001048655,0.002861764,0.002941341,0.002054881,0.1779741],"category_scores_gemma":[0.006809241,0.00098896,0.001176184,0.01076679,0.0004700069,0.002464366,0.002697386,0.002055256,0.2412056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611087,"about_ca_system_score_gemma":0.002469646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02151909,"about_ca_topic_score_gemma":0.03490816,"domain_scores_codex":[0.9988295,0.0001566122,0.0001556053,0.0004112863,0.0002572738,0.0001895763],"domain_scores_gemma":[0.9971836,0.0008301664,0.000267971,0.0007297487,0.0006736669,0.0003148468],"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":[0.0000273587,0.000009716159,0.0003565223,0.0005323607,0.00001459783,0.00001409861,0.00002402964,0.0001127545,0.0001058411,0.0003811075,0.9970816,0.001340159],"study_design_scores_gemma":[0.00006466274,0.000006953252,0.001684349,0.0001971291,0.00001435193,0.00003458729,0.00007150431,0.0001288575,0.00016501,0.000756924,0.9968586,0.00001703902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003332044,0.00002379207,0.00004318615,0.00003161438,0.00001112539,0.000004326915,0.9989286,0.0003319666,0.0005920834],"genre_scores_gemma":[0.0001408065,0.00003306875,0.0001885776,0.00004180632,0.000003361105,0.00003776563,0.9989329,0.0001599838,0.0004617584],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8220259,"threshold_uncertainty_score":0.5953827,"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."}}