{"id":"W6887060309","doi":"10.15468/dl.magf8s","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0008751633,0.001783575,0.001489786,0.004690274,0.001015201,0.002807142,0.002662775,0.001779676,0.1824722],"category_scores_gemma":[0.005754237,0.0008754631,0.001342714,0.008967435,0.0003999221,0.002394415,0.002671188,0.001849858,0.2659929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394734,"about_ca_system_score_gemma":0.002245666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02048584,"about_ca_topic_score_gemma":0.03253654,"domain_scores_codex":[0.9990078,0.0001222516,0.0001267225,0.0003566176,0.0002149653,0.0001716733],"domain_scores_gemma":[0.997664,0.0006104718,0.000189762,0.0006726102,0.0006151756,0.0002479043],"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":[0.00003080549,0.00001006388,0.0004717395,0.000531438,0.00001563187,0.00001790669,0.00002805473,0.0001319801,0.0001342575,0.0003948404,0.996198,0.002035295],"study_design_scores_gemma":[0.00005030678,0.00000680106,0.00173707,0.0001540117,0.00001267318,0.0000360606,0.00008016049,0.0001654402,0.000185296,0.00075456,0.9968015,0.00001620291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005169546,0.00002889616,0.00007128397,0.00004174645,0.00001698066,0.000006330282,0.9982035,0.0006982749,0.0008812348],"genre_scores_gemma":[0.0002010193,0.00003847509,0.0002822528,0.00005059182,0.000004646848,0.00004626995,0.9985098,0.0002456061,0.0006213492],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8175278,"threshold_uncertainty_score":0.6104302,"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."}}