{"id":"W6943027142","doi":"10.15468/dl.kpc2dd","title":"Occurrence Download","year":2022,"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); The Internet; 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":[0.001116051,0.001973981,0.001594723,0.005237527,0.0009729576,0.002676866,0.002762515,0.001934102,0.1655442],"category_scores_gemma":[0.006571583,0.0009665359,0.001127745,0.01022581,0.0004512924,0.002258837,0.002546024,0.001965516,0.224738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622439,"about_ca_system_score_gemma":0.002465228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02259348,"about_ca_topic_score_gemma":0.0351193,"domain_scores_codex":[0.9988785,0.0001520011,0.0001517621,0.0003903138,0.0002484301,0.0001789071],"domain_scores_gemma":[0.997229,0.0008182069,0.0002648843,0.0007016264,0.0006808904,0.000305322],"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":[0.00002704102,0.00001004211,0.0003563974,0.0005300563,0.00001464994,0.00001450013,0.00002372761,0.0001144361,0.0001057674,0.0003688217,0.9971854,0.001249103],"study_design_scores_gemma":[0.00007245637,0.000007469321,0.001820533,0.0001954845,0.0000152147,0.00003715058,0.00007504339,0.0001379396,0.000183288,0.0007184775,0.9967192,0.00001776724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003356066,0.00002251045,0.0000415952,0.00003077928,0.00001004285,0.000004714416,0.998974,0.000325979,0.0005569095],"genre_scores_gemma":[0.0001488672,0.00003117586,0.0001808614,0.00003956554,0.000003200754,0.00004058571,0.9989805,0.0001472946,0.000427942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8344558,"threshold_uncertainty_score":0.5538006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}