{"id":"W6905902637","doi":"10.15468/dl.vvm2kw","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); Set (abstract data type); Data set","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":[0.0009503025,0.002001663,0.00158373,0.004767205,0.0009910322,0.002398681,0.002882004,0.00211467,0.1462555],"category_scores_gemma":[0.005436967,0.000922642,0.00120905,0.009688733,0.0004452012,0.002100691,0.002461638,0.001945824,0.2079234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590359,"about_ca_system_score_gemma":0.002267285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02313784,"about_ca_topic_score_gemma":0.03700737,"domain_scores_codex":[0.9990267,0.0001285298,0.0001205664,0.0003380043,0.000222102,0.0001642404],"domain_scores_gemma":[0.9978351,0.0005960274,0.0002063258,0.0005858659,0.000521027,0.0002556044],"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":[0.0000291508,0.00001174874,0.0003961094,0.0005289622,0.00001616736,0.00001570651,0.0000262104,0.0001432006,0.0001342386,0.0003913225,0.996841,0.001466233],"study_design_scores_gemma":[0.00007531611,0.000008523327,0.002047286,0.0001919032,0.00001605285,0.00003990426,0.00007403518,0.0001718571,0.0002151082,0.0007521459,0.9963893,0.00001867904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004655027,0.00002789953,0.00004827038,0.00003297988,0.00001183879,0.00000519922,0.9987894,0.0004201534,0.0006177758],"genre_scores_gemma":[0.0001607814,0.00002978555,0.0001973305,0.00003932224,0.000002948707,0.00003951419,0.9989787,0.0001446307,0.0004069503],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8537445,"threshold_uncertainty_score":0.4892735,"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."}}