{"id":"W6924599313","doi":"10.15468/dl.kpxgdq","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); Upload; Metadata","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":[0.000990121,0.001971374,0.001620075,0.005064641,0.0009958569,0.002549737,0.00283791,0.002078728,0.1510001],"category_scores_gemma":[0.00596517,0.0009463964,0.00120114,0.009880942,0.0004488364,0.002234858,0.002585176,0.002005092,0.209282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557065,"about_ca_system_score_gemma":0.002324159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02200155,"about_ca_topic_score_gemma":0.03510423,"domain_scores_codex":[0.9989503,0.0001386172,0.0001331691,0.00036308,0.000244046,0.0001708959],"domain_scores_gemma":[0.997622,0.000678296,0.0002224716,0.0006256347,0.0005796741,0.0002719765],"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":[0.0000307901,0.00001136793,0.0003939511,0.0005450401,0.00001625813,0.00001549437,0.00002558448,0.0001372518,0.0001335133,0.0003926129,0.9967977,0.001500494],"study_design_scores_gemma":[0.00007729702,0.000008497513,0.001999566,0.0001916206,0.00001591518,0.00004112604,0.00007586264,0.0001773753,0.0002104357,0.0007938302,0.9963897,0.00001881722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004430721,0.00002776665,0.00005056415,0.00003451287,0.00001138347,0.00000509264,0.9987815,0.0004484604,0.0005964772],"genre_scores_gemma":[0.0001619473,0.00003131821,0.0002024334,0.00004193282,0.00000305709,0.00003878072,0.9989368,0.0001678313,0.0004159198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8489999,"threshold_uncertainty_score":0.5051458,"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."}}