{"id":"W6943555324","doi":"10.15468/dl.sjaxsr","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); Order (exchange); 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":[0.0008438279,0.00177052,0.001365146,0.004795497,0.0009986169,0.002596302,0.002686253,0.001942498,0.1610452],"category_scores_gemma":[0.005617988,0.0009029386,0.001158622,0.009626767,0.0004019013,0.002356932,0.002537962,0.001926148,0.2235424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513624,"about_ca_system_score_gemma":0.002201732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01995239,"about_ca_topic_score_gemma":0.03402146,"domain_scores_codex":[0.9990302,0.0001244608,0.0001293313,0.0003441841,0.000212388,0.0001594151],"domain_scores_gemma":[0.9977202,0.0005969453,0.0002059121,0.0006214372,0.0006078028,0.0002477179],"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":[0.00002815473,0.00001139524,0.0004033424,0.0004941126,0.00001314968,0.00001472221,0.00002419907,0.0001161145,0.0001074338,0.0003751964,0.9967036,0.001708535],"study_design_scores_gemma":[0.00005890165,0.000007022064,0.001793093,0.0001777508,0.00001191531,0.00003720316,0.00008117049,0.0001512862,0.0001773899,0.0007543453,0.9967332,0.00001676979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004652372,0.00002511447,0.00005313039,0.00003768598,0.00001335515,0.000005515676,0.998654,0.0004144772,0.0007502865],"genre_scores_gemma":[0.0001789428,0.00003330291,0.0002534739,0.00004473364,0.000003797047,0.00004405649,0.9987135,0.0001627263,0.0005655693],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8389547,"threshold_uncertainty_score":0.53875,"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."}}