{"id":"W6906080502","doi":"10.15468/dl.wxsnqh","title":"Occurrence Download","year":2015,"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":[0.0009782796,0.001898573,0.001556356,0.005360151,0.0008825942,0.002559924,0.002759207,0.00188294,0.1472589],"category_scores_gemma":[0.005839914,0.0008604779,0.001149654,0.01097038,0.0004276893,0.002120025,0.002608095,0.001837007,0.203577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613795,"about_ca_system_score_gemma":0.002425397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02393398,"about_ca_topic_score_gemma":0.0401672,"domain_scores_codex":[0.9989892,0.0001320017,0.0001369073,0.000338,0.0002293765,0.000174499],"domain_scores_gemma":[0.9976407,0.0005915911,0.0002538998,0.0006262583,0.0006032935,0.0002842561],"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":[0.00003150136,0.00001071036,0.0004290289,0.0006184677,0.00001850888,0.00001509634,0.00002501873,0.0001321704,0.0001212449,0.0004224602,0.9966189,0.001556912],"study_design_scores_gemma":[0.00006920875,0.000007368972,0.002008545,0.0001966954,0.0000151952,0.0000326282,0.00006112488,0.0001214613,0.0001704694,0.0006974624,0.9966043,0.00001567244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003866691,0.00002804511,0.00003577892,0.00002747268,0.000009393533,0.000004567803,0.9989896,0.0002890396,0.0005774092],"genre_scores_gemma":[0.0001453404,0.00003347805,0.0001540368,0.00003624994,0.000002972352,0.00003342962,0.9990975,0.0001051635,0.0003918987],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8527411,"threshold_uncertainty_score":0.4926302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}