{"id":"W6886868323","doi":"10.15468/dl.2gtpj7","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); 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":[0.001039365,0.001867674,0.001610984,0.006249202,0.00102376,0.002824857,0.002695178,0.001937901,0.184796],"category_scores_gemma":[0.006185857,0.0009251424,0.001164021,0.01181713,0.000462139,0.002403213,0.002837074,0.002002489,0.264501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592777,"about_ca_system_score_gemma":0.002695256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02087602,"about_ca_topic_score_gemma":0.03688061,"domain_scores_codex":[0.99878,0.0001567792,0.0001582426,0.0003990401,0.000298213,0.0002076857],"domain_scores_gemma":[0.9971423,0.0007124891,0.0002834307,0.0007323695,0.000790334,0.000339139],"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":[0.00002687285,0.000009465419,0.0003475902,0.0004995557,0.0000134884,0.00001274908,0.0000225572,0.00009551406,0.0001164953,0.0003981142,0.9969262,0.001531318],"study_design_scores_gemma":[0.00005041399,0.000006302449,0.001606311,0.0001759039,0.00001211617,0.00003003394,0.0000622059,0.0000869623,0.0001711117,0.0006885891,0.9970945,0.00001549828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003501354,0.00002668627,0.00003882634,0.00003232397,0.00001118719,0.000004687691,0.9988243,0.000300354,0.0007267258],"genre_scores_gemma":[0.0001470332,0.00003766986,0.000186242,0.00004746994,0.000003806989,0.00003755225,0.9987668,0.000150352,0.0006231244],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.815204,"threshold_uncertainty_score":0.6182042,"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."}}