{"id":"W6887285768","doi":"10.15468/dl.z2xdrh","title":"Occurrence Download","year":2017,"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); Ornithology; Range (aeronautics); Data collection","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":[0.001058541,0.00196234,0.001556856,0.005970519,0.0008641692,0.00256643,0.002748905,0.001954667,0.1615233],"category_scores_gemma":[0.006287375,0.0008655607,0.001188753,0.01065046,0.0004403453,0.002318476,0.002837494,0.001940681,0.2207519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587973,"about_ca_system_score_gemma":0.002610372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0217707,"about_ca_topic_score_gemma":0.03814445,"domain_scores_codex":[0.9988896,0.0001506857,0.0001447044,0.0003631362,0.000260355,0.0001916355],"domain_scores_gemma":[0.9972882,0.0007153892,0.0002657779,0.0006986173,0.0007006396,0.0003313611],"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":[0.00002618393,0.000009574027,0.0003511826,0.0005314855,0.00001589691,0.0000133499,0.00002089021,0.0001127613,0.0001033582,0.0003550128,0.9970489,0.001411342],"study_design_scores_gemma":[0.0000682266,0.000007940153,0.001847693,0.0002111125,0.00001447986,0.00003578606,0.00006542935,0.0001347703,0.0001699752,0.0007502858,0.9966774,0.0000168693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003863499,0.00002911792,0.00004024332,0.00003338169,0.00001180653,0.000005406216,0.9988847,0.0003643321,0.0005923503],"genre_scores_gemma":[0.0001486538,0.00003533212,0.0001721196,0.0000400493,0.000003611725,0.00003624528,0.9990327,0.0001316235,0.0003996334],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8384767,"threshold_uncertainty_score":0.5403492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}