{"id":"W6943260499","doi":"10.15468/dl.rdf9em","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); Order (exchange); 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":[0.001157517,0.001974188,0.001709546,0.005485707,0.001048499,0.00290175,0.002936468,0.002038738,0.1794847],"category_scores_gemma":[0.007041153,0.001011866,0.001200418,0.01113386,0.000470793,0.002465553,0.002796324,0.002050861,0.2358732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570385,"about_ca_system_score_gemma":0.00246051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02120576,"about_ca_topic_score_gemma":0.03356072,"domain_scores_codex":[0.9987932,0.0001634166,0.0001689761,0.0004148367,0.0002655167,0.0001940137],"domain_scores_gemma":[0.997023,0.0008630321,0.0002835572,0.0007880721,0.0007171271,0.0003251191],"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":[0.00002808507,0.00001016972,0.0003672037,0.0005776933,0.00001522283,0.00001527014,0.00002625772,0.000114691,0.0001068904,0.0003938611,0.9970326,0.001312034],"study_design_scores_gemma":[0.00006678051,0.000007059454,0.001696334,0.0002030681,0.00001434823,0.00003570565,0.00007708867,0.000123378,0.0001661447,0.000766621,0.9968258,0.0000176496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003309501,0.00002181486,0.00004284005,0.00003154466,0.00001095141,0.00000472764,0.9989503,0.000330228,0.0005745119],"genre_scores_gemma":[0.0001468203,0.00003305608,0.000192006,0.00004193171,0.000003346566,0.00004252215,0.9989178,0.0001677769,0.0004548047],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8205153,"threshold_uncertainty_score":0.600436,"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."}}