{"id":"W6961610739","doi":"10.15468/dl.snvmpj","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; Alien; Range (aeronautics)","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":[0.0009289883,0.001988615,0.001571604,0.004681385,0.0009675979,0.002528142,0.00265664,0.001910806,0.1668938],"category_scores_gemma":[0.006026768,0.0009019593,0.001218055,0.009336879,0.0004232202,0.002199643,0.00245735,0.001865003,0.2189349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481397,"about_ca_system_score_gemma":0.002252633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02142143,"about_ca_topic_score_gemma":0.0346367,"domain_scores_codex":[0.9989982,0.0001366636,0.0001218844,0.0003653277,0.0002102116,0.0001677775],"domain_scores_gemma":[0.9976707,0.0006839416,0.0002200279,0.0005934446,0.0005716938,0.0002601151],"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":[0.00002893934,0.00001038132,0.0003784675,0.0005180255,0.00001440569,0.00001324775,0.00002013333,0.0001247692,0.0001047285,0.0003481504,0.9970397,0.001399098],"study_design_scores_gemma":[0.00007502491,0.000009777382,0.001891444,0.0001902388,0.00001554235,0.00003566721,0.00006295081,0.0001612066,0.0001821326,0.0008249624,0.9965326,0.00001834714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004104071,0.00002692987,0.00004120374,0.00003431562,0.00001208208,0.000004881946,0.9988672,0.0003686076,0.0006038289],"genre_scores_gemma":[0.0001629174,0.00003511056,0.0001941055,0.00004898062,0.000003794393,0.00004418406,0.9988438,0.0001571441,0.0005099607],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8331062,"threshold_uncertainty_score":0.5583153,"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."}}