{"id":"W6905977313","doi":"10.15468/dl.r4g96x","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":[0.0009249534,0.001797138,0.001499539,0.005082183,0.0009151079,0.002386904,0.00263004,0.001862656,0.1537841],"category_scores_gemma":[0.005291173,0.0008577454,0.001149789,0.01027059,0.0004388974,0.002049726,0.002526027,0.001837348,0.210476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447229,"about_ca_system_score_gemma":0.002254471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02080408,"about_ca_topic_score_gemma":0.03568157,"domain_scores_codex":[0.9990243,0.0001273215,0.0001338887,0.0003228105,0.0002218107,0.0001699963],"domain_scores_gemma":[0.9976876,0.0006006863,0.0002301252,0.000625309,0.0005832575,0.0002730265],"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":[0.00003235627,0.00001182782,0.0004280217,0.0005932606,0.00001710828,0.00001666397,0.00002632665,0.0001294692,0.0001520378,0.0003988283,0.9965828,0.001611307],"study_design_scores_gemma":[0.00006856833,0.000008080639,0.002166435,0.0001920334,0.00001524486,0.00003955079,0.00007440312,0.0001249253,0.0002078653,0.0007083641,0.9963772,0.00001736514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004358215,0.00002556147,0.00003954238,0.00002928317,0.00001077718,0.000004829851,0.9989336,0.0003125097,0.0006003538],"genre_scores_gemma":[0.000157269,0.00003186922,0.0001764554,0.00003921237,0.000003219515,0.00003612434,0.9990358,0.0001179811,0.0004019933],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.846216,"threshold_uncertainty_score":0.514459,"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."}}