{"id":"W6924647567","doi":"10.15468/dl.r9fw6t","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); Range (aeronautics); Data set; 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":[0.001034848,0.002008967,0.00168203,0.005261077,0.0009741942,0.002627893,0.002849491,0.002189548,0.1656179],"category_scores_gemma":[0.006526353,0.0009454412,0.001254497,0.01027529,0.0004495802,0.002296091,0.002667524,0.002016207,0.2177748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608286,"about_ca_system_score_gemma":0.002390525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02033314,"about_ca_topic_score_gemma":0.03207146,"domain_scores_codex":[0.9989105,0.0001490213,0.0001463398,0.0003738829,0.0002345272,0.0001856741],"domain_scores_gemma":[0.9974169,0.0007692176,0.0002440326,0.0006610329,0.000610918,0.0002980208],"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":[0.00003274583,0.00001096389,0.0003706532,0.000690203,0.00001810527,0.00001692289,0.00002431589,0.0001290721,0.0001328585,0.0003988789,0.99679,0.001385206],"study_design_scores_gemma":[0.00008099183,0.000008593335,0.001832788,0.0002252822,0.00001696263,0.0000394781,0.0000645794,0.0001435955,0.0002022674,0.0008169478,0.9965503,0.0000181567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003428759,0.00002814595,0.00003798581,0.00003253933,0.00001053132,0.000005006652,0.9989766,0.0003309094,0.0005440184],"genre_scores_gemma":[0.0001501114,0.0000366797,0.0001710832,0.00004872984,0.000003351909,0.00004267033,0.9990233,0.0001356341,0.0003884622],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8343822,"threshold_uncertainty_score":0.5540469,"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."}}