{"id":"W6906001954","doi":"10.15468/dl.vqftbr","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009063779,0.001827192,0.001564907,0.004988717,0.001069061,0.002946796,0.002721856,0.001858062,0.1959899],"category_scores_gemma":[0.006108281,0.0009140836,0.001369511,0.009848475,0.0004143475,0.002576174,0.002800393,0.001932828,0.2782472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450507,"about_ca_system_score_gemma":0.002357994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02042625,"about_ca_topic_score_gemma":0.0326974,"domain_scores_codex":[0.9989524,0.0001273976,0.0001331326,0.0003724455,0.0002284584,0.0001861658],"domain_scores_gemma":[0.9975088,0.0006597717,0.0002050958,0.0006881779,0.0006730323,0.0002651306],"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":[0.00002900085,0.000009342028,0.0004374975,0.0005268022,0.00001459622,0.00001654735,0.00002652706,0.0001209047,0.0001229128,0.0003920256,0.9963491,0.001954776],"study_design_scores_gemma":[0.00004949257,0.00000646627,0.001641802,0.0001606912,0.00001216898,0.00003383195,0.00007685514,0.0001558292,0.0001728528,0.0007718358,0.9969023,0.0000159411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004702788,0.00003038002,0.00006638101,0.00004345836,0.00001685382,0.000005962047,0.9982415,0.0006662181,0.000882121],"genre_scores_gemma":[0.0001937506,0.00004216368,0.0002731496,0.00005415901,0.000004899118,0.00004483431,0.9984775,0.0002573147,0.0006521529],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8040101,"threshold_uncertainty_score":0.6556515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}