{"id":"W6887204348","doi":"10.15468/dl.vc1dwy","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); Range (aeronautics); Confidentiality","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":[0.0009379252,0.001697173,0.001481055,0.005864949,0.001037613,0.002761358,0.002584479,0.001921083,0.1386898],"category_scores_gemma":[0.006855634,0.0008437615,0.001313098,0.01123557,0.0004338172,0.00250913,0.002596986,0.001915653,0.1922309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481169,"about_ca_system_score_gemma":0.00254181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.019993,"about_ca_topic_score_gemma":0.03296189,"domain_scores_codex":[0.9988218,0.0001587728,0.0001791404,0.0004134011,0.000244578,0.0001822769],"domain_scores_gemma":[0.997262,0.0007966975,0.000264158,0.0006938026,0.0007141114,0.0002691554],"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":[0.0000346523,0.00001182185,0.0006320212,0.0008042592,0.00001945552,0.00002053588,0.00003504416,0.0001554711,0.0001366969,0.0005040486,0.9952791,0.002367013],"study_design_scores_gemma":[0.00005046973,0.000007347655,0.001984618,0.000250815,0.00001463879,0.00003909781,0.00009045855,0.0001503337,0.0001626928,0.0007799718,0.9964535,0.00001602283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005449676,0.00004067059,0.00005540814,0.00004484376,0.00001654476,0.000006407929,0.9987068,0.0003744079,0.0007004125],"genre_scores_gemma":[0.0002033899,0.00005556474,0.0002520189,0.00005877264,0.000005036551,0.00005457864,0.9986377,0.0001469708,0.000585914],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8613102,"threshold_uncertainty_score":0.4639635,"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."}}