{"id":"W6905458071","doi":"10.15468/dl.m4zdx4","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); 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":[0.001003413,0.002004937,0.001660762,0.005095298,0.0009641796,0.002586144,0.002807888,0.002052002,0.1574051],"category_scores_gemma":[0.005942666,0.0009263208,0.00114339,0.0101166,0.000451735,0.002319662,0.002529947,0.001997116,0.2152648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546397,"about_ca_system_score_gemma":0.002321919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02074886,"about_ca_topic_score_gemma":0.03484176,"domain_scores_codex":[0.9989634,0.0001435533,0.000130982,0.0003643711,0.0002304289,0.0001673169],"domain_scores_gemma":[0.9975855,0.0006930624,0.0002373201,0.0006155914,0.0005771921,0.0002912025],"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":[0.00002824102,0.00001141996,0.0003602267,0.000545337,0.00001535617,0.00001441394,0.00002264137,0.0001266213,0.0001099949,0.0003609879,0.9970444,0.001360417],"study_design_scores_gemma":[0.00007890104,0.000008172336,0.001883177,0.0001941326,0.00001478345,0.00003705724,0.00006929394,0.0001456163,0.0001806974,0.00077453,0.9965957,0.00001792929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003901043,0.00002727502,0.00004055584,0.00003271795,0.00001029353,0.000004801191,0.9989443,0.000330386,0.000570511],"genre_scores_gemma":[0.0001572506,0.00003369678,0.0001810636,0.00004378481,0.000003278179,0.00004075608,0.9989638,0.0001366634,0.0004397627],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8425949,"threshold_uncertainty_score":0.5265726,"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."}}