{"id":"W6962042306","doi":"10.15468/dl.scxerc","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; 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":[0.001024804,0.001943304,0.001522256,0.005512959,0.0009796988,0.002594969,0.002706609,0.001912917,0.1616129],"category_scores_gemma":[0.005959622,0.0008974518,0.001164796,0.01085293,0.0004407289,0.002246502,0.002625472,0.001897065,0.2381683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534211,"about_ca_system_score_gemma":0.002504534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02230632,"about_ca_topic_score_gemma":0.03820337,"domain_scores_codex":[0.9988654,0.0001559629,0.0001500461,0.0003738915,0.0002608464,0.0001938659],"domain_scores_gemma":[0.9974113,0.0006597457,0.0002491171,0.000683645,0.0006858628,0.0003103854],"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":[0.0000299814,0.00001063341,0.0003571486,0.0005190462,0.0000147365,0.0000139261,0.00002147178,0.0001103112,0.000116193,0.0003707107,0.9969794,0.001456513],"study_design_scores_gemma":[0.00006004795,0.000007635244,0.001743303,0.0001828976,0.00001351523,0.00003390102,0.00006344717,0.0001094828,0.0001738329,0.0006776886,0.9969181,0.00001613958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003845509,0.00002713341,0.00003806987,0.0000317529,0.00001078532,0.000005001869,0.998866,0.0003155052,0.0006672942],"genre_scores_gemma":[0.0001400076,0.00003319613,0.0001566789,0.00004382934,0.000003271039,0.00003461203,0.998997,0.0001232059,0.000468155],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8383871,"threshold_uncertainty_score":0.5406492,"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."}}