{"id":"W6961806903","doi":"10.15468/dl.s5khyp","title":"Occurrence Download","year":2021,"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":[0.001095735,0.002076259,0.001727173,0.005103962,0.001058252,0.00254481,0.003069666,0.002227267,0.1534342],"category_scores_gemma":[0.006739178,0.0009549322,0.001195402,0.009595838,0.0004723154,0.002372705,0.002546464,0.002205484,0.2121483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001834254,"about_ca_system_score_gemma":0.002556694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02238537,"about_ca_topic_score_gemma":0.03697024,"domain_scores_codex":[0.9988288,0.0001555508,0.000150225,0.0003986743,0.0002792029,0.000187444],"domain_scores_gemma":[0.9971585,0.0008120261,0.0002618044,0.0007622702,0.0006862169,0.0003192495],"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":[0.00002896572,0.00001256241,0.0003523028,0.0004793557,0.00001335869,0.00001447843,0.00002173858,0.0001301673,0.0001052632,0.00035016,0.997139,0.001352601],"study_design_scores_gemma":[0.00007772716,0.000009227067,0.001939961,0.0001910909,0.00001477932,0.00003988977,0.00007331145,0.0001942237,0.0002153706,0.000785797,0.9964399,0.00001869432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004096702,0.00002436016,0.00004420615,0.0000370787,0.00001135839,0.000005528296,0.9988764,0.000383438,0.000576574],"genre_scores_gemma":[0.0001479077,0.00002833001,0.0001956548,0.00003939215,0.000003044656,0.00004252862,0.9989489,0.0001323304,0.0004619598],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8465658,"threshold_uncertainty_score":0.5132886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}