{"id":"W6887317641","doi":"10.15468/dl.ytrub8","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); 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":[0.0009670574,0.001942127,0.001618431,0.005183619,0.001001649,0.002529322,0.002796916,0.001991004,0.1596294],"category_scores_gemma":[0.005572976,0.0009292144,0.001122541,0.01034976,0.0004665467,0.002299113,0.002578991,0.001990744,0.2169747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516222,"about_ca_system_score_gemma":0.002263464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02083613,"about_ca_topic_score_gemma":0.03642652,"domain_scores_codex":[0.9989998,0.0001366229,0.0001265866,0.0003496581,0.0002231781,0.000164242],"domain_scores_gemma":[0.9976272,0.0006530258,0.0002300509,0.0006392761,0.0005727729,0.0002777443],"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":[0.00002909084,0.00001133861,0.0003838767,0.0005709114,0.00001507431,0.00001575354,0.00002681567,0.0001290354,0.0001258259,0.0004103128,0.9968688,0.001413182],"study_design_scores_gemma":[0.00006803212,0.000007131204,0.001750811,0.000174442,0.00001297573,0.00003470012,0.00007331836,0.0001227008,0.0001746872,0.0007339863,0.9968302,0.00001701587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004308127,0.00002667764,0.00004484278,0.00003228429,0.00001122436,0.000005048543,0.9988242,0.0003548508,0.0006577095],"genre_scores_gemma":[0.0001649875,0.00003351257,0.0002046109,0.00004153412,0.000003323067,0.00004181133,0.9988695,0.000153059,0.0004877094],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8403706,"threshold_uncertainty_score":0.5340135,"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."}}