{"id":"W6962269646","doi":"10.15468/dl.sgkcys","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":[0.0009843014,0.002017782,0.001621537,0.004829905,0.0009971575,0.002472514,0.002837175,0.002030191,0.1539915],"category_scores_gemma":[0.005894968,0.0009513389,0.00119208,0.009772172,0.0004651223,0.002228144,0.002642931,0.002014488,0.2077421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649078,"about_ca_system_score_gemma":0.002379293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02491832,"about_ca_topic_score_gemma":0.03976722,"domain_scores_codex":[0.999019,0.0001310682,0.0001230965,0.0003365598,0.0002223625,0.0001678331],"domain_scores_gemma":[0.9977115,0.0006545797,0.0002128587,0.0005986856,0.000555412,0.0002668873],"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":[0.00002928741,0.00001102516,0.000378684,0.0005457417,0.00001535203,0.00001541868,0.00002759172,0.0001359055,0.0001263233,0.0004061774,0.996868,0.00144044],"study_design_scores_gemma":[0.00007322354,0.000007647515,0.001857183,0.0001877799,0.0000141823,0.00003726645,0.00007795959,0.0001612365,0.0002015391,0.000760897,0.9966033,0.00001792366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004330611,0.00002583776,0.00004968201,0.00003327121,0.00001133368,0.000005149832,0.9987797,0.0004388678,0.0006128346],"genre_scores_gemma":[0.0001625931,0.00003057981,0.0002062233,0.00004133144,0.000002981554,0.00004076352,0.9989348,0.0001713157,0.0004094085],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8460085,"threshold_uncertainty_score":0.5151528,"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."}}