{"id":"W6943590947","doi":"10.15468/dl.shdq53","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); The Internet; State (computer science)","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":[0.001126779,0.002042077,0.001692795,0.005332583,0.001034798,0.002768187,0.003064739,0.002178449,0.1567993],"category_scores_gemma":[0.00668691,0.0009936634,0.001203085,0.01067065,0.0004776393,0.002379643,0.002614184,0.002079493,0.2291148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670861,"about_ca_system_score_gemma":0.002462622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02212532,"about_ca_topic_score_gemma":0.03590707,"domain_scores_codex":[0.9988145,0.0001589238,0.0001580861,0.0004110695,0.0002690946,0.0001882947],"domain_scores_gemma":[0.997238,0.0007887247,0.0002626971,0.0007271105,0.0006757067,0.0003076564],"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":[0.00002680271,0.00001075838,0.0003555442,0.0005268314,0.00001537356,0.00001463582,0.00002310864,0.0001231484,0.0001110171,0.0003780969,0.9971245,0.001290232],"study_design_scores_gemma":[0.00007115071,0.000007576898,0.001777508,0.0001960976,0.00001467712,0.00003791362,0.00007172216,0.0001465896,0.0001791453,0.0007655491,0.9967139,0.00001816363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003552934,0.0000259814,0.00004322298,0.00003434193,0.00001112619,0.000004655566,0.9989256,0.0003487568,0.0005707224],"genre_scores_gemma":[0.0001363318,0.00003158215,0.0001795523,0.00004037445,0.000003095208,0.00003682041,0.9990403,0.0001377036,0.0003940634],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8432007,"threshold_uncertainty_score":0.5245459,"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."}}