{"id":"W6943500445","doi":"10.15468/dl.t2wjza","title":"Occurrence Download","year":2020,"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; Column (typography)","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":[0.0009828153,0.001913829,0.00152595,0.005483347,0.0008770842,0.002447713,0.002717909,0.001838607,0.1482397],"category_scores_gemma":[0.005446895,0.0008950296,0.001109939,0.0108779,0.0004387473,0.002111737,0.002379693,0.001846717,0.2013035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626934,"about_ca_system_score_gemma":0.002412524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02429786,"about_ca_topic_score_gemma":0.03881954,"domain_scores_codex":[0.9989649,0.0001347817,0.0001376289,0.0003428586,0.0002380931,0.0001817565],"domain_scores_gemma":[0.9974886,0.000634112,0.0002532807,0.0006723807,0.0006254496,0.000326183],"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":[0.00003679206,0.00001267127,0.0004435222,0.0005614881,0.00001680266,0.00001605821,0.00002337754,0.0001367368,0.0001420429,0.0003990864,0.9966578,0.001553523],"study_design_scores_gemma":[0.00007420935,0.000009234441,0.002428644,0.0001794019,0.0000148885,0.0000379234,0.00006885907,0.0001453651,0.0002180331,0.0006701134,0.9961355,0.00001792415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000400705,0.00002152791,0.00003084357,0.00002647337,0.000008755528,0.000004294292,0.9990661,0.0002744146,0.0005275732],"genre_scores_gemma":[0.0001423214,0.00002632664,0.0001414108,0.00003423214,0.000002879296,0.0000300239,0.9991272,0.0001003697,0.0003953135],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8517603,"threshold_uncertainty_score":0.4959114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}