{"id":"W6887164525","doi":"10.15468/dl.q9ptf6","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); Puffinus; Range (aeronautics); Data set","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":[0.0009484817,0.001956875,0.001527861,0.004678859,0.0009485472,0.002376295,0.002657168,0.002017912,0.1541136],"category_scores_gemma":[0.005518776,0.0008992588,0.001186576,0.009556939,0.0004302065,0.002009606,0.002439282,0.001901783,0.2137975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589918,"about_ca_system_score_gemma":0.002352213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02382143,"about_ca_topic_score_gemma":0.03791903,"domain_scores_codex":[0.9990245,0.0001303689,0.0001229593,0.0003321068,0.0002215635,0.0001686229],"domain_scores_gemma":[0.9978051,0.0006087029,0.0002069859,0.0005763993,0.0005404509,0.0002623581],"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":[0.0000308759,0.00001157837,0.0003892075,0.0005164865,0.00001472878,0.00001533776,0.00002529241,0.0001293163,0.0001352677,0.0003969028,0.9969431,0.001391899],"study_design_scores_gemma":[0.00007752675,0.000008371037,0.002001508,0.0001880134,0.00001444981,0.00003863559,0.00007546094,0.0001659165,0.0002091852,0.0007395829,0.9964637,0.0000177282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004410326,0.00002478044,0.00004413283,0.00003295507,0.00001115923,0.000005071548,0.9988606,0.0003712141,0.0006058929],"genre_scores_gemma":[0.000163076,0.00002974182,0.0001902213,0.00004089064,0.000003068518,0.00004115773,0.9989583,0.0001440985,0.0004293848],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8458865,"threshold_uncertainty_score":0.5155612,"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."}}