{"id":"W6905573350","doi":"10.15468/dl.4eryeb","title":"Occurrence Download","year":2024,"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); Limit (mathematics); Column (typography)","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":[0.001036302,0.001825953,0.001571469,0.00519697,0.001017421,0.002927197,0.002904275,0.001887019,0.1930659],"category_scores_gemma":[0.007098303,0.001000561,0.001222882,0.01043178,0.0004390923,0.002397189,0.00268823,0.002055554,0.2604425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608556,"about_ca_system_score_gemma":0.00253679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02151227,"about_ca_topic_score_gemma":0.03304649,"domain_scores_codex":[0.9988991,0.0001440836,0.0001491218,0.0003937705,0.000241738,0.0001722082],"domain_scores_gemma":[0.9972135,0.0008513401,0.0002444314,0.0007240826,0.0006795196,0.0002871702],"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":[0.00002476031,0.000008922377,0.0003477336,0.0005366773,0.00001407774,0.00001283949,0.00002371677,0.0001029566,0.00008998442,0.0003770816,0.9969769,0.001484325],"study_design_scores_gemma":[0.00005791918,0.000006356554,0.001528598,0.0001879671,0.00001407514,0.00003091551,0.00006809594,0.0001294265,0.0001645616,0.0008025733,0.9969931,0.00001655432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003266049,0.00002327331,0.00004934061,0.00003642655,0.00001114403,0.000004973307,0.9987499,0.0004168474,0.0006755269],"genre_scores_gemma":[0.0001577238,0.00004003812,0.000230944,0.00004906303,0.000003689218,0.00004825965,0.9986225,0.0002144584,0.000633336],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8069341,"threshold_uncertainty_score":0.6458699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}