{"id":"W6905780158","doi":"10.15468/dl.unpasg","title":"Occurrence Download","year":2023,"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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.0009482463,0.002707032,0.002083438,0.006319746,0.001519382,0.004417716,0.003434122,0.002399722,0.2863909],"category_scores_gemma":[0.006981482,0.001155179,0.001929554,0.01021809,0.0004615988,0.004469543,0.004635798,0.002302972,0.4471335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001952888,"about_ca_system_score_gemma":0.002542805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02496798,"about_ca_topic_score_gemma":0.04256193,"domain_scores_codex":[0.998689,0.0001317505,0.0001433828,0.000460361,0.0003226954,0.0002528644],"domain_scores_gemma":[0.997354,0.0005719791,0.0001924233,0.0007392289,0.0008046764,0.0003377322],"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":[0.00003940486,0.00001111562,0.0003815636,0.0005385035,0.00001280867,0.00002113846,0.00002714773,0.00007403399,0.0001102954,0.0004072942,0.9952071,0.003169469],"study_design_scores_gemma":[0.0000364779,0.000007787509,0.001166402,0.0001736358,0.000009880319,0.00004221575,0.00007401835,0.0001524669,0.0001633449,0.0008406429,0.9973158,0.00001717413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006616706,0.00007163752,0.0001453466,0.00007556997,0.00003288264,0.00001141421,0.9942046,0.002857111,0.002535386],"genre_scores_gemma":[0.0002760408,0.00007984455,0.0005349285,0.0001243329,0.00001074857,0.00005047339,0.9964156,0.0009511462,0.001556887],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7136091,"threshold_uncertainty_score":0.958073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}