{"id":"W6887151535","doi":"10.15468/dl.ptxxfk","title":"Occurrence Download","year":2021,"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); Confidentiality; Order (exchange)","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":[0.0009534358,0.001964773,0.001586095,0.005015867,0.001026797,0.002483119,0.002845578,0.002057499,0.1448383],"category_scores_gemma":[0.006225253,0.0008967231,0.001200573,0.01007849,0.000459337,0.002388859,0.002651344,0.002012788,0.208215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664106,"about_ca_system_score_gemma":0.00252982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02593766,"about_ca_topic_score_gemma":0.04201221,"domain_scores_codex":[0.998931,0.0001361325,0.0001306529,0.0003696093,0.0002540275,0.0001785659],"domain_scores_gemma":[0.9974155,0.0007036736,0.0002375237,0.0006871659,0.0006712705,0.0002847356],"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":[0.00002705502,0.00001070282,0.000396,0.0005015431,0.00001429736,0.00001492393,0.00002548737,0.0001378513,0.0001095567,0.0003828924,0.996919,0.001460761],"study_design_scores_gemma":[0.00006587472,0.000007899461,0.00188606,0.0001883693,0.00001354057,0.00003687453,0.0000808277,0.0001604233,0.0001859091,0.000768411,0.9965882,0.00001757509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004431063,0.0000271971,0.00004470691,0.00003803167,0.00001285469,0.000005032195,0.9987928,0.0004153747,0.0006196802],"genre_scores_gemma":[0.000157715,0.0000324647,0.0002018339,0.00004171315,0.000003363749,0.00003803078,0.9989103,0.0001462598,0.00046828],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8551617,"threshold_uncertainty_score":0.4845324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}