{"id":"W6924980379","doi":"10.15468/dl.t8wwqv","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":"Matching (statistics); Download; State (computer science); Range (aeronautics); Field (mathematics)","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":[0.000849102,0.001982856,0.001485941,0.005046214,0.0009636966,0.002424043,0.002720985,0.001879614,0.1597884],"category_scores_gemma":[0.005270348,0.000899701,0.001129375,0.009877975,0.0004434354,0.00224249,0.002501296,0.001896512,0.2211849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466874,"about_ca_system_score_gemma":0.002218264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01939656,"about_ca_topic_score_gemma":0.03499398,"domain_scores_codex":[0.9990176,0.0001310233,0.0001226398,0.0003592363,0.0002042823,0.0001651953],"domain_scores_gemma":[0.997818,0.0005858478,0.0002155885,0.0005683706,0.00054834,0.000263864],"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":[0.00003005811,0.00001130017,0.0003894903,0.0005118804,0.00001349565,0.00001408946,0.00002129785,0.0001214895,0.0001179196,0.0003569397,0.9968942,0.001517777],"study_design_scores_gemma":[0.00006660782,0.00000882048,0.001785918,0.0001700579,0.00001294652,0.0000362451,0.00006512264,0.0001349032,0.0001741119,0.0007509089,0.9967772,0.00001707061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004651921,0.00002759986,0.0000396089,0.00003179631,0.00001248166,0.000004739708,0.9988238,0.0003312351,0.000682058],"genre_scores_gemma":[0.0001598163,0.00003332998,0.0001915452,0.00004457866,0.000003654423,0.00003854902,0.9988802,0.0001374751,0.0005107108],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8402116,"threshold_uncertainty_score":0.5345455,"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."}}