{"id":"W6887133646","doi":"10.15468/dl.t8vhay","title":"Occurrence Download","year":2019,"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); Ursus; 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":[0.0008575803,0.001787441,0.001478835,0.00521224,0.0009018853,0.002415172,0.002551001,0.001789577,0.1446147],"category_scores_gemma":[0.005335598,0.0008028796,0.001095207,0.01036104,0.0004055732,0.002109748,0.002513085,0.001799354,0.201511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001476507,"about_ca_system_score_gemma":0.002359745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02318802,"about_ca_topic_score_gemma":0.0391626,"domain_scores_codex":[0.9989941,0.0001265796,0.0001375335,0.0003422381,0.0002244018,0.0001752279],"domain_scores_gemma":[0.9976681,0.0005825309,0.0002362465,0.0006143676,0.0006119447,0.000286915],"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":[0.00003334697,0.00001138948,0.0004465714,0.0005733856,0.00001693838,0.00001671874,0.00002357478,0.0001249991,0.0001328767,0.0003966213,0.9966786,0.001544912],"study_design_scores_gemma":[0.00006894169,0.000008205104,0.002057784,0.0001895977,0.00001459377,0.00003856951,0.00007023001,0.0001381774,0.000202431,0.0007298147,0.9964646,0.00001714918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004050408,0.00002603403,0.00003611021,0.00002925438,0.00001043973,0.000004778379,0.9989386,0.0003353244,0.0005790456],"genre_scores_gemma":[0.0001596699,0.00003343255,0.0001632845,0.00003976148,0.000003386511,0.00003333501,0.9990585,0.0001154108,0.0003931187],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8553853,"threshold_uncertainty_score":0.4837844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}