{"id":"W6943378268","doi":"10.15468/dl.s79ht7","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); Species name; Data set","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":[0.001113327,0.002052513,0.001659337,0.005075607,0.001076382,0.002772856,0.002982652,0.00209083,0.1662454],"category_scores_gemma":[0.006336678,0.0009759654,0.001184742,0.009916029,0.0004647649,0.002490914,0.002636696,0.002075343,0.2386911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688374,"about_ca_system_score_gemma":0.002492403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02318922,"about_ca_topic_score_gemma":0.03779715,"domain_scores_codex":[0.998835,0.0001566035,0.0001507383,0.0004068625,0.0002644952,0.0001863355],"domain_scores_gemma":[0.9973459,0.0007529681,0.0002409627,0.0007122263,0.0006448771,0.0003031141],"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":[0.0000286221,0.00001073612,0.0003401474,0.0005096919,0.00001444224,0.00001516935,0.00002396235,0.0001136185,0.0001176053,0.0003945293,0.9971204,0.001310983],"study_design_scores_gemma":[0.00006319516,0.000007084642,0.001596633,0.000174171,0.00001339447,0.00003564749,0.0000678885,0.0001336009,0.0001884841,0.0007374212,0.9969653,0.00001725329],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000352776,0.00002375824,0.00004573436,0.0000321903,0.00001088663,0.000004703694,0.9988524,0.0003742425,0.0006208855],"genre_scores_gemma":[0.0001361153,0.00003020768,0.0001837309,0.0000394367,0.000002978308,0.00003684011,0.9989746,0.0001557905,0.0004403705],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8337546,"threshold_uncertainty_score":0.5561463,"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."}}