{"id":"W6943730091","doi":"10.15468/dl.ywdd5a","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":"Download; Matching (statistics); Listing (finance); Range (aeronautics); 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":[0.001121781,0.002160165,0.001728275,0.004754446,0.001153863,0.002747694,0.003165663,0.002137905,0.206856],"category_scores_gemma":[0.006900916,0.001112443,0.00134356,0.008512973,0.0004938801,0.002556908,0.003164276,0.002187727,0.2694316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789241,"about_ca_system_score_gemma":0.002632041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02569724,"about_ca_topic_score_gemma":0.04164106,"domain_scores_codex":[0.999003,0.0001226546,0.0001144035,0.0003517696,0.0002301102,0.0001780494],"domain_scores_gemma":[0.9974705,0.0006940658,0.0002064169,0.0007020594,0.0006402232,0.0002867389],"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":[0.00002594523,0.000009249423,0.0002783587,0.0004488172,0.00001239841,0.00001297646,0.00002233432,0.00009327468,0.00009692948,0.0003457879,0.997412,0.001241889],"study_design_scores_gemma":[0.00008014876,0.00000736945,0.0015198,0.0001937961,0.00001428759,0.00003549115,0.00006606048,0.0001536801,0.0001930406,0.0008738841,0.9968438,0.00001867037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003063354,0.00002018875,0.00005109261,0.00003455593,0.0000117535,0.000005986433,0.9986092,0.0005688647,0.0006676627],"genre_scores_gemma":[0.0001453607,0.00002981296,0.0002541353,0.0000507925,0.000003277683,0.00005186478,0.9987042,0.000270261,0.0004902415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.793144,"threshold_uncertainty_score":0.6920021,"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."}}