{"id":"W6887037505","doi":"10.15468/dl.m38m9h","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); Electronic mail; 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":[0.0009765001,0.002036778,0.001579514,0.004816364,0.001006406,0.002447087,0.002893191,0.002153792,0.1278309],"category_scores_gemma":[0.005667637,0.0008748106,0.001232408,0.009599324,0.0004495792,0.002196779,0.002438115,0.002013608,0.1876094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645771,"about_ca_system_score_gemma":0.00230386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02419318,"about_ca_topic_score_gemma":0.03848617,"domain_scores_codex":[0.9989802,0.0001375442,0.0001293482,0.0003622131,0.000230847,0.0001598742],"domain_scores_gemma":[0.997728,0.0006442039,0.0002146183,0.0006100695,0.0005468472,0.0002562393],"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":[0.00003236601,0.00001312402,0.0004201548,0.0005485148,0.00001700027,0.00001652929,0.00002622693,0.0001522962,0.0001355994,0.0004147321,0.9967108,0.001512642],"study_design_scores_gemma":[0.00007692789,0.000009022127,0.002049972,0.0001855168,0.00001592391,0.00004079092,0.00007744235,0.000189755,0.0002098046,0.0008051966,0.9963208,0.00001885109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005152974,0.0000303171,0.00005040368,0.00003778548,0.00001246027,0.000005263567,0.9987759,0.0004195987,0.0006167875],"genre_scores_gemma":[0.0001658359,0.00003166082,0.000197295,0.00004032985,0.000003071826,0.00003780943,0.9990001,0.000131927,0.0003918493],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8721691,"threshold_uncertainty_score":0.4276369,"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."}}