{"id":"W6905927030","doi":"10.15468/dl.pzsv9q","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; Listing (finance); Matching (statistics); Range (aeronautics)","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":[0.001060394,0.002073548,0.001615675,0.005317307,0.001007417,0.00254872,0.0028423,0.001790775,0.2034875],"category_scores_gemma":[0.005641952,0.0009617071,0.001164702,0.01010428,0.0004378314,0.00231312,0.002703545,0.001840909,0.2710289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001862302,"about_ca_system_score_gemma":0.002651023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03106286,"about_ca_topic_score_gemma":0.05002664,"domain_scores_codex":[0.9990371,0.0001183811,0.0001141959,0.0003262263,0.0002245164,0.0001795102],"domain_scores_gemma":[0.9975612,0.0006422414,0.0002166334,0.0006256253,0.0006588777,0.0002953087],"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":[0.00002322552,0.000008042615,0.0002666411,0.0004205985,0.00001149528,0.00001189876,0.00001894367,0.00009249682,0.00009652174,0.0003281769,0.9974632,0.001258728],"study_design_scores_gemma":[0.00006162364,0.000006528805,0.001603545,0.0001827217,0.00001250674,0.00002989141,0.00005956556,0.000125335,0.0001888719,0.0007881986,0.9969251,0.00001618245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002393593,0.00001627191,0.00003613057,0.00002496958,0.000008409109,0.000004574221,0.9989329,0.0003332584,0.000619685],"genre_scores_gemma":[0.0001199489,0.00002700772,0.0001841065,0.00003802609,0.000002803625,0.00003786494,0.998929,0.0001732485,0.0004880432],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7965125,"threshold_uncertainty_score":0.6807335,"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."}}