{"id":"W6906153807","doi":"10.15468/dl.zx3zxp","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); Alien; Set (abstract data type)","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":[0.001079622,0.001966371,0.001617881,0.005102621,0.00111816,0.002607356,0.002922106,0.002173975,0.1550983],"category_scores_gemma":[0.006441238,0.0009265473,0.001300144,0.01000536,0.0004751187,0.002437333,0.002668343,0.00207354,0.2238729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162954,"about_ca_system_score_gemma":0.002515794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02255589,"about_ca_topic_score_gemma":0.03650762,"domain_scores_codex":[0.9988455,0.0001650849,0.0001412818,0.0004043692,0.0002567284,0.0001869799],"domain_scores_gemma":[0.9971933,0.0008245907,0.0002365998,0.0007658472,0.0006831864,0.0002966152],"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":[0.00002996982,0.00001222183,0.0003640026,0.0005431045,0.00001422598,0.00001539281,0.00002507745,0.0001144526,0.0001204777,0.0003703377,0.9969869,0.001403706],"study_design_scores_gemma":[0.00006982347,0.000009113479,0.001913363,0.0002003908,0.00001443058,0.00003846894,0.00008270302,0.0001395109,0.0002003018,0.0007555844,0.9965582,0.00001808926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004854707,0.00003063449,0.0000480509,0.00004299416,0.00001396074,0.000006243035,0.9986877,0.0004383748,0.0006834469],"genre_scores_gemma":[0.0001622509,0.00003533608,0.0002013974,0.0000495586,0.000003707089,0.00004616348,0.998855,0.0001574263,0.0004892338],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8449017,"threshold_uncertainty_score":0.5188556,"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."}}