{"id":"W6924925065","doi":"10.15468/dl.vfvn89","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); State (computer science); Range (aeronautics); Data set","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":[0.0009284862,0.002126242,0.001652106,0.004910079,0.001075132,0.002657127,0.002928727,0.002336571,0.1415578],"category_scores_gemma":[0.006005331,0.0009089304,0.001264218,0.009997388,0.0004598772,0.00235107,0.002485916,0.002129501,0.2010225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001816125,"about_ca_system_score_gemma":0.002454055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02739699,"about_ca_topic_score_gemma":0.04315187,"domain_scores_codex":[0.9990143,0.0001325128,0.0001266978,0.000332296,0.0002255919,0.0001685893],"domain_scores_gemma":[0.9977044,0.0006793783,0.0001986667,0.0005650315,0.0005859383,0.0002665085],"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":[0.00002916811,0.00001270692,0.000379295,0.000525099,0.00001467987,0.00001617484,0.00002353821,0.0001340716,0.0001099481,0.0003276422,0.996983,0.001444781],"study_design_scores_gemma":[0.00008860751,0.00000969767,0.002002953,0.0002218383,0.00001643602,0.00004311249,0.00008874654,0.0002320325,0.000197719,0.0007881347,0.9962915,0.00001928115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004488333,0.00003098517,0.00003988467,0.00004093195,0.00001226492,0.000005874988,0.9988735,0.0003931346,0.0005585137],"genre_scores_gemma":[0.0001620418,0.00003637067,0.0001935322,0.00004572846,0.000003310786,0.00004509195,0.9989911,0.0001255501,0.0003973118],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8584422,"threshold_uncertainty_score":0.4735579,"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."}}