{"id":"W6905646382","doi":"10.15468/dl.mb3wxs","title":"Occurrence Download","year":2023,"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); Data set; 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":[0.0007042469,0.002603433,0.002010083,0.006924656,0.001492078,0.003943764,0.002890719,0.002591201,0.2724295],"category_scores_gemma":[0.006717556,0.0009899235,0.001691667,0.01116951,0.0003899758,0.004271302,0.003454366,0.00246588,0.4228809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001835972,"about_ca_system_score_gemma":0.002414048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0191263,"about_ca_topic_score_gemma":0.03995717,"domain_scores_codex":[0.9986028,0.0001613417,0.0001803068,0.0004810718,0.0003391231,0.0002352357],"domain_scores_gemma":[0.9973544,0.0006932758,0.0001943578,0.0006320839,0.0007857853,0.0003401169],"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":[0.00003445175,0.0000111129,0.0002802566,0.0004453098,0.000009769805,0.00001987161,0.00001592508,0.00007262703,0.00007569775,0.0003299368,0.996182,0.002523013],"study_design_scores_gemma":[0.00004208012,0.000009258536,0.0009038437,0.0001538026,0.000009858198,0.0000437521,0.00006192749,0.0001564607,0.0001164577,0.0006914638,0.9977969,0.00001413028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007216812,0.0001076832,0.00008872904,0.00009332981,0.00003860617,0.0000102352,0.9955423,0.001183455,0.002863399],"genre_scores_gemma":[0.0002179866,0.000094615,0.0003178654,0.00009662964,0.00001033576,0.00003805576,0.9973097,0.0002776573,0.001637214],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7275705,"threshold_uncertainty_score":0.9113675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}