{"id":"W6943317594","doi":"10.15468/dl.vyctoo","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); Listing (finance); 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":[0.0009497414,0.001968963,0.001620051,0.005176264,0.0009867455,0.002806504,0.002856746,0.001757374,0.2219992],"category_scores_gemma":[0.005894069,0.000983745,0.001281151,0.009736936,0.0004376195,0.00255237,0.003020866,0.00194756,0.3164275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669144,"about_ca_system_score_gemma":0.002369989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02373656,"about_ca_topic_score_gemma":0.0365032,"domain_scores_codex":[0.9990757,0.0001050435,0.0001149029,0.0003240013,0.0002066976,0.0001735442],"domain_scores_gemma":[0.9977915,0.0005460799,0.0001958722,0.0005998601,0.0006002052,0.0002663849],"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":[0.00002265692,0.000007422172,0.0002717242,0.0004619105,0.00001167462,0.00001154131,0.00001888404,0.00007738567,0.00009344798,0.0003274964,0.9973449,0.001350988],"study_design_scores_gemma":[0.00005718618,0.000006407246,0.001515,0.0001855738,0.00001261142,0.00002979715,0.00005968636,0.0001057899,0.0001668266,0.000718725,0.9971271,0.00001526882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000232105,0.0000203344,0.00003768414,0.00002886633,0.00001173478,0.00000505125,0.9987501,0.0004170033,0.0007059328],"genre_scores_gemma":[0.000131315,0.00003652551,0.0001957651,0.00004750015,0.000003875272,0.00004314346,0.9987164,0.0002222112,0.0006033127],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7780008,"threshold_uncertainty_score":0.7426614,"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."}}