{"id":"W6962548522","doi":"10.15468/dl.zs3h99","title":"Occurrence Download","year":2020,"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); Upload; Metadata","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":[0.001034474,0.002047924,0.001732611,0.006112335,0.0009469544,0.002593155,0.002952414,0.002001322,0.1665262],"category_scores_gemma":[0.006124122,0.0009525928,0.001158025,0.01249676,0.0004552246,0.002280101,0.00248112,0.00188256,0.2110764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789193,"about_ca_system_score_gemma":0.002717908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03026642,"about_ca_topic_score_gemma":0.04371358,"domain_scores_codex":[0.9988821,0.0001360412,0.0001458138,0.0003763137,0.0002642974,0.0001953136],"domain_scores_gemma":[0.9974293,0.0006948951,0.000249691,0.0006357383,0.0006708871,0.000319516],"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":[0.00003262229,0.00001012148,0.0003689687,0.0005392894,0.00001566283,0.00001565215,0.00002315291,0.0001326511,0.000117026,0.0003785373,0.996919,0.001447228],"study_design_scores_gemma":[0.00007191504,0.000007442788,0.002156169,0.0001860406,0.00001553283,0.00003899523,0.00007174325,0.0001433652,0.0002012008,0.00067519,0.9964138,0.00001869034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003336619,0.00002238665,0.0000334645,0.00002667938,0.00000838715,0.000003884737,0.9990361,0.0003053323,0.0005304656],"genre_scores_gemma":[0.0001394324,0.0000280708,0.0001469142,0.00003327179,0.000002625504,0.00002955472,0.999084,0.0001242785,0.0004117601],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8334738,"threshold_uncertainty_score":0.5570856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}