{"id":"W6962460770","doi":"10.15468/dl.y4tccq","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); Scheme (mathematics)","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":[0.0009537402,0.001986299,0.00163998,0.004928498,0.0009900611,0.002605825,0.002768796,0.002065362,0.1667211],"category_scores_gemma":[0.00569586,0.0009253311,0.001142247,0.009864284,0.0004537375,0.002474294,0.002616588,0.002048632,0.2298006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001524225,"about_ca_system_score_gemma":0.00223274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02005055,"about_ca_topic_score_gemma":0.03571836,"domain_scores_codex":[0.9989881,0.0001408659,0.0001249218,0.0003595583,0.0002211449,0.0001654075],"domain_scores_gemma":[0.9975205,0.0006920473,0.0002316868,0.0006694382,0.0006006908,0.0002857517],"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":[0.0000274402,0.0000106546,0.0003318926,0.0005205554,0.00001347754,0.00001411896,0.00002319123,0.0001158773,0.0001077592,0.0003844808,0.9971425,0.001308001],"study_design_scores_gemma":[0.00006804166,0.000006924005,0.001568936,0.000170304,0.00001205038,0.000031938,0.00006661472,0.0001258335,0.0001609257,0.0007979205,0.9969739,0.00001662828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000372572,0.0000243968,0.00004364369,0.00003337077,0.00001091723,0.000004906536,0.9988313,0.0003611527,0.0006529955],"genre_scores_gemma":[0.0001634259,0.00003297226,0.0002095748,0.00004630363,0.000003580168,0.00004294836,0.9988195,0.0001673344,0.0005142525],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8332789,"threshold_uncertainty_score":0.5577376,"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."}}