{"id":"W6962512250","doi":"10.15468/dl.zamu9s","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); Alien; The Internet","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":[0.0009651511,0.001915211,0.001511277,0.004811883,0.0009904659,0.002543118,0.002664416,0.002036436,0.1593718],"category_scores_gemma":[0.00609085,0.0008654242,0.001212861,0.009115777,0.0004425415,0.002355457,0.002543777,0.001932628,0.2339847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014598,"about_ca_system_score_gemma":0.002149733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01927267,"about_ca_topic_score_gemma":0.0309213,"domain_scores_codex":[0.9989728,0.0001461324,0.0001299472,0.0003640618,0.0002207597,0.000166359],"domain_scores_gemma":[0.9973831,0.0007432324,0.0002269253,0.0007071617,0.0006564935,0.0002830545],"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":[0.00002722687,0.00001224411,0.0003942258,0.000490906,0.00001317209,0.00001436287,0.00002295458,0.0001285844,0.0001093125,0.0003448299,0.9969696,0.001472531],"study_design_scores_gemma":[0.00006916254,0.000009598098,0.00193863,0.0001906942,0.00001368868,0.0000364527,0.00008428594,0.0001750155,0.0001870736,0.0007666866,0.9965108,0.00001787441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004905447,0.00002691578,0.00004844198,0.00004089971,0.00001482605,0.000005930005,0.9987693,0.0004103223,0.0006342034],"genre_scores_gemma":[0.0001726643,0.0000333819,0.0002138932,0.00004734469,0.00000440412,0.00004563109,0.9988196,0.0001510239,0.0005119872],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8406282,"threshold_uncertainty_score":0.5331517,"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."}}