{"id":"W6906165872","doi":"10.15468/dl.z8ejw2","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Download; Matching (statistics); Range (aeronautics); Key (lock)","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":[0.001005146,0.001892691,0.001548915,0.005406118,0.00104414,0.00250728,0.002832678,0.001867338,0.1682509],"category_scores_gemma":[0.006595884,0.0009391396,0.001110781,0.01104648,0.0004731572,0.002260542,0.002557066,0.002017241,0.2167577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001787522,"about_ca_system_score_gemma":0.002744048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03057725,"about_ca_topic_score_gemma":0.04806067,"domain_scores_codex":[0.9988992,0.000140591,0.0001432875,0.0003610332,0.0002723061,0.0001835827],"domain_scores_gemma":[0.9969448,0.0008305943,0.0002695025,0.00081688,0.0007993432,0.0003387781],"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":[0.00002548838,0.00001044596,0.0003448923,0.0004087477,0.00001118496,0.00001346932,0.00002498662,0.0001139724,0.00009001795,0.0003613482,0.997276,0.001319482],"study_design_scores_gemma":[0.00006136323,0.000006919024,0.001907431,0.0001585542,0.0000116489,0.00003254424,0.00008383649,0.000145515,0.0001742043,0.000666887,0.9967346,0.00001648139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003823348,0.00001799985,0.0000385713,0.00003356192,0.00001071255,0.000004863949,0.9989047,0.0003452094,0.0006060711],"genre_scores_gemma":[0.0001449277,0.00002556453,0.0001867065,0.00003444933,0.000002936641,0.00003927698,0.9988914,0.0001434056,0.0005313459],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8317491,"threshold_uncertainty_score":0.5628553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}