{"id":"W6887195594","doi":"10.15468/dl.rt6t9d","title":"Occurrence Download","year":2023,"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":[0.0009700453,0.002005696,0.001509685,0.004949533,0.001003612,0.002438465,0.00280416,0.002073292,0.1477051],"category_scores_gemma":[0.005746358,0.0009370579,0.001165119,0.009445494,0.0004596315,0.002202523,0.00257885,0.002084472,0.2157575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668206,"about_ca_system_score_gemma":0.002324442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02329351,"about_ca_topic_score_gemma":0.03978312,"domain_scores_codex":[0.9990251,0.0001270331,0.0001208465,0.0003406436,0.0002232544,0.0001630191],"domain_scores_gemma":[0.9976125,0.0006545984,0.0002218576,0.0006558991,0.0005807094,0.000274421],"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":[0.00002645118,0.00001108226,0.0003905927,0.0004721352,0.00001345839,0.00001449296,0.00002646013,0.0001366831,0.0001258916,0.0004030743,0.9969091,0.001470544],"study_design_scores_gemma":[0.00006372175,0.000007382874,0.001772975,0.0001682207,0.00001269272,0.00003596779,0.00007457271,0.0001634907,0.0001920675,0.0007566991,0.9967348,0.00001724664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004712572,0.00002565531,0.00005397356,0.00003502317,0.0000122472,0.000005314664,0.998677,0.0004691523,0.0006745593],"genre_scores_gemma":[0.0001599635,0.00002845034,0.0002319811,0.00004110531,0.000003001872,0.00004131057,0.9988856,0.0001720619,0.000436598],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8522949,"threshold_uncertainty_score":0.4941229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}