{"id":"W6887322988","doi":"10.15468/dl.xuewes","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); R package; 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":[0.0009985209,0.001814197,0.001492552,0.004929817,0.0009741357,0.002555086,0.002758627,0.001938757,0.1611772],"category_scores_gemma":[0.005926219,0.0008594175,0.001200104,0.01033164,0.0004262513,0.002196531,0.002497486,0.001875114,0.2162635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682992,"about_ca_system_score_gemma":0.002543274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02481179,"about_ca_topic_score_gemma":0.03997454,"domain_scores_codex":[0.9989547,0.0001440966,0.0001425602,0.000348848,0.0002321341,0.0001777395],"domain_scores_gemma":[0.9975056,0.0006478835,0.0002361301,0.0006682105,0.0006516759,0.0002905666],"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":[0.00003138642,0.00001016159,0.0003503967,0.0005263608,0.00001517968,0.00001364747,0.00002080437,0.0001135593,0.0001129721,0.0003952939,0.997004,0.00140628],"study_design_scores_gemma":[0.00006607211,0.000006902511,0.001712679,0.0001860554,0.00001337187,0.00003124549,0.00005920972,0.0001235116,0.0001840135,0.0007983405,0.9968026,0.00001611555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003387892,0.00002419235,0.00003606764,0.00003158417,0.000009779077,0.000004739576,0.9989616,0.0003058703,0.0005923077],"genre_scores_gemma":[0.0001554386,0.00003378404,0.0001755137,0.00004682146,0.000003287426,0.0000377223,0.9989808,0.0001292083,0.0004373483],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8388228,"threshold_uncertainty_score":0.5391914,"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."}}