{"id":"W6906023841","doi":"10.15468/dl.s4x9r9","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; Population","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":[0.001073133,0.001882517,0.001596596,0.005131124,0.001013821,0.002761382,0.002856045,0.00201456,0.1729623],"category_scores_gemma":[0.006431871,0.0009655447,0.001135287,0.01026452,0.0004464832,0.002457652,0.002605277,0.002036772,0.2306591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581023,"about_ca_system_score_gemma":0.002326745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02046598,"about_ca_topic_score_gemma":0.03415638,"domain_scores_codex":[0.9988773,0.0001532907,0.0001482435,0.0003939944,0.0002498945,0.0001771554],"domain_scores_gemma":[0.9973336,0.0007832129,0.0002517013,0.0006976245,0.0006304808,0.0003033637],"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":[0.00002699913,0.000009872477,0.0003458965,0.0004982967,0.00001437901,0.0000135791,0.0000225935,0.0001111151,0.0001027307,0.0003804111,0.9971706,0.00130349],"study_design_scores_gemma":[0.00006672684,0.000007068413,0.00174786,0.000189735,0.00001415548,0.00003459693,0.00007065802,0.0001375706,0.0001714443,0.0007667668,0.9967763,0.00001701238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003408848,0.00002300373,0.00004254008,0.00003248319,0.00001093396,0.000004318627,0.998934,0.0003259915,0.0005927033],"genre_scores_gemma":[0.0001467622,0.0000317842,0.000181809,0.00004211027,0.0000033121,0.00003723221,0.9989491,0.0001529372,0.0004549587],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8270377,"threshold_uncertainty_score":0.5786166,"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."}}