{"id":"W6905961116","doi":"10.15468/dl.wh97tu","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); Alien; Range (aeronautics)","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":[0.0009792023,0.002066222,0.001608908,0.005034556,0.001039538,0.002571566,0.002867547,0.002215406,0.1658853],"category_scores_gemma":[0.006105888,0.0009182999,0.001320439,0.009395101,0.0004739469,0.002324341,0.002587168,0.002025118,0.2285143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569569,"about_ca_system_score_gemma":0.002296018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02174876,"about_ca_topic_score_gemma":0.0341689,"domain_scores_codex":[0.9990115,0.0001357576,0.0001191094,0.0003488765,0.0002158941,0.0001687668],"domain_scores_gemma":[0.9975955,0.0007217696,0.0002068825,0.0006161085,0.0005858783,0.0002737485],"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":[0.00002880225,0.00001200792,0.0003832967,0.0005607274,0.00001447677,0.00001625326,0.00002448876,0.000131998,0.0001241464,0.0003358457,0.9969035,0.0014645],"study_design_scores_gemma":[0.00007687104,0.000009581469,0.00189192,0.0002160557,0.00001535189,0.00003898705,0.00008447336,0.0001853325,0.000197788,0.0008092368,0.9964556,0.00001900408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004567132,0.00002958122,0.00004490489,0.00003977339,0.00001373888,0.00000613837,0.9987444,0.0004315996,0.0006442583],"genre_scores_gemma":[0.0001735477,0.00003583819,0.0002113886,0.00005134538,0.000003970492,0.00004966324,0.9988396,0.0001622158,0.0004724563],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8341147,"threshold_uncertainty_score":0.5549415,"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."}}