{"id":"W6905984452","doi":"10.15468/dl.ql2apg","title":"Occurrence Download","year":2019,"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); Acipenser; Range (aeronautics); Software","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":[0.0009079925,0.001886671,0.001530911,0.005263483,0.0009556003,0.002518276,0.002652368,0.001841273,0.1654253],"category_scores_gemma":[0.005649366,0.0008570681,0.001117776,0.01066035,0.0004272741,0.002187305,0.002637622,0.001801295,0.2375616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001654005,"about_ca_system_score_gemma":0.002396818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02512351,"about_ca_topic_score_gemma":0.04188939,"domain_scores_codex":[0.9989851,0.0001298713,0.0001423153,0.0003435901,0.0002231686,0.0001759286],"domain_scores_gemma":[0.9976417,0.0005824949,0.0002277521,0.0006317489,0.0006326979,0.000283695],"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":[0.00003145744,0.00001014545,0.0003694014,0.0005596005,0.00001546534,0.00001462522,0.00002352594,0.0001142961,0.0001228141,0.0003976256,0.9968072,0.001533896],"study_design_scores_gemma":[0.00006095062,0.000006619791,0.001710633,0.0001694161,0.00001279556,0.00003105228,0.00006150434,0.0001088825,0.0001717355,0.0007026693,0.9969479,0.00001564761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003427284,0.00002456172,0.00003415192,0.00002764552,0.00000941181,0.000004509539,0.9989489,0.0003042868,0.0006121731],"genre_scores_gemma":[0.0001468504,0.00003387804,0.0001595795,0.00003938585,0.000003164828,0.00003304028,0.9990128,0.0001257404,0.000445564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8345746,"threshold_uncertainty_score":0.5534029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}