{"id":"W6962366514","doi":"10.15468/dl.skm84w","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); Range (aeronautics); Data set; Set (abstract data type)","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":[0.0008678855,0.002033305,0.00155541,0.005008407,0.001023229,0.002639886,0.002807827,0.002119725,0.1774744],"category_scores_gemma":[0.005915114,0.0009242055,0.001201585,0.01015497,0.0004610759,0.002343228,0.00261452,0.002003675,0.2335244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777341,"about_ca_system_score_gemma":0.002484591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02962272,"about_ca_topic_score_gemma":0.04678568,"domain_scores_codex":[0.9990314,0.0001215241,0.0001138208,0.0003185466,0.0002442992,0.0001704548],"domain_scores_gemma":[0.9977586,0.0006425979,0.0001837453,0.0005535783,0.0006067282,0.0002546765],"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":[0.00002424589,0.00001048369,0.000352015,0.0004769517,0.00001316269,0.00001467175,0.00002509336,0.0001240174,0.0001038994,0.0003718429,0.9969708,0.001512793],"study_design_scores_gemma":[0.00006389582,0.000007096123,0.001664863,0.0002054749,0.00001349725,0.00003857199,0.00008857994,0.0001755178,0.0001956646,0.0008050057,0.9967237,0.00001803077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004369585,0.00003017129,0.00005216887,0.00003948577,0.00001260856,0.000005405697,0.9986013,0.0004802526,0.0007350201],"genre_scores_gemma":[0.0001889274,0.00003903362,0.000237023,0.00004689027,0.000003671109,0.00004310734,0.9987036,0.0001967088,0.0005410369],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8225256,"threshold_uncertainty_score":0.593711,"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."}}