{"id":"W6905977410","doi":"10.15468/dl.w7ky5b","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); State (computer science); Confidentiality","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":[0.0008791848,0.001991824,0.001669669,0.005319124,0.001109002,0.002782794,0.002890811,0.002223352,0.1621753],"category_scores_gemma":[0.005838585,0.0009569296,0.00141608,0.009750141,0.0004529398,0.00254491,0.002710102,0.002062117,0.2367417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159266,"about_ca_system_score_gemma":0.002411019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0192821,"about_ca_topic_score_gemma":0.0312859,"domain_scores_codex":[0.9989427,0.0001392206,0.0001379436,0.0003851843,0.000214892,0.0001800916],"domain_scores_gemma":[0.9976975,0.0006455871,0.0001973646,0.0006134241,0.0005858494,0.0002602581],"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":[0.00003164139,0.00001256549,0.0004359197,0.000683852,0.00001681204,0.00001864225,0.0000262043,0.0001240143,0.0001327794,0.0003711899,0.9963954,0.00175091],"study_design_scores_gemma":[0.00006947246,0.000008929944,0.001807821,0.0002194664,0.00001632925,0.0000462276,0.00007771099,0.000175557,0.0001984724,0.0007629227,0.9965994,0.00001765438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005390551,0.00004230556,0.00005326647,0.00004496656,0.0000157003,0.000006989119,0.9984685,0.0005224749,0.0007919151],"genre_scores_gemma":[0.0001774903,0.00004461849,0.0002174589,0.00005721358,0.000004417698,0.0000466725,0.998772,0.0001663721,0.0005137866],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8378247,"threshold_uncertainty_score":0.5425304,"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."}}