{"id":"W6905745004","doi":"10.15468/dl.n879w4","title":"Occurrence Download","year":2022,"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); Alien; 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":[0.0009900475,0.001956407,0.001567218,0.004861416,0.001023102,0.002706909,0.002885888,0.0021517,0.1888442],"category_scores_gemma":[0.006455114,0.0009541902,0.001288508,0.008986155,0.0004393175,0.002598391,0.002656413,0.002098652,0.2481084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565247,"about_ca_system_score_gemma":0.002330128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01965573,"about_ca_topic_score_gemma":0.03233614,"domain_scores_codex":[0.9989648,0.0001458734,0.0001316678,0.0003711324,0.0002190228,0.0001675194],"domain_scores_gemma":[0.9974627,0.0007694056,0.0002158941,0.0006717021,0.0006027902,0.0002775024],"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":[0.00002685302,0.00001126463,0.00031797,0.00052541,0.00001314892,0.00001375108,0.00002065197,0.0001096716,0.00009660051,0.0003413334,0.9971145,0.00140881],"study_design_scores_gemma":[0.00007534716,0.00000868711,0.00166184,0.0002103968,0.00001407762,0.00003638991,0.00007250973,0.0001578225,0.0001729787,0.0008157474,0.9967563,0.00001799213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003780901,0.00002701828,0.00004719798,0.00004206383,0.00001419685,0.000006464548,0.9987432,0.0004182103,0.0006639452],"genre_scores_gemma":[0.0001495826,0.0000371005,0.0002164479,0.00005510283,0.000004021362,0.00005305827,0.998769,0.0001691718,0.0005464755],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8111557,"threshold_uncertainty_score":0.6317469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}