{"id":"W6887221080","doi":"10.15468/dl.wsjr5h","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":[0.00103053,0.001963875,0.001614874,0.005369641,0.001023671,0.002590329,0.002907372,0.001893972,0.1729646],"category_scores_gemma":[0.005806836,0.0009254876,0.001110035,0.01103641,0.0004383635,0.002256285,0.002586895,0.001898602,0.2279889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710899,"about_ca_system_score_gemma":0.002704567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03069963,"about_ca_topic_score_gemma":0.04806606,"domain_scores_codex":[0.9989473,0.0001388292,0.0001272822,0.0003576166,0.0002444714,0.0001845284],"domain_scores_gemma":[0.9975145,0.0006521082,0.0002269952,0.0006465036,0.0006605506,0.0002993447],"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":[0.00002551808,0.000009355688,0.000315263,0.0004476878,0.00001390768,0.0000131431,0.00002226994,0.000119128,0.0001094359,0.0003816202,0.9971992,0.001343551],"study_design_scores_gemma":[0.00006170564,0.0000068522,0.001745686,0.0001642489,0.0000134114,0.00003212197,0.00006914988,0.0001297551,0.0001862656,0.0007355342,0.9968379,0.0000173365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003532623,0.00002371347,0.00004415315,0.00003087739,0.00001001119,0.000004744598,0.9988174,0.0003792623,0.000654433],"genre_scores_gemma":[0.000143398,0.00003019907,0.0001749365,0.0000371063,0.000002859503,0.00003530484,0.9989527,0.0001554679,0.0004679883],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8270354,"threshold_uncertainty_score":0.5786242,"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."}}