{"id":"W6887102397","doi":"10.15468/dl.nwzm5q","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); Order (exchange)","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":[0.0009452358,0.001970086,0.001550215,0.004548862,0.0009672407,0.002529003,0.00281516,0.002036769,0.1502011],"category_scores_gemma":[0.005571058,0.0009074649,0.001197081,0.008918778,0.0004249992,0.002225057,0.002476624,0.001995681,0.2204684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640955,"about_ca_system_score_gemma":0.002245562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02370377,"about_ca_topic_score_gemma":0.03802242,"domain_scores_codex":[0.9990649,0.0001234796,0.0001143727,0.0003252581,0.000217726,0.000154352],"domain_scores_gemma":[0.9978003,0.0006146579,0.0002033591,0.0005893374,0.0005450228,0.0002473138],"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":[0.0000279529,0.00001078986,0.0003750551,0.0004682971,0.00001472562,0.0000146335,0.00002359556,0.0001334477,0.0001163006,0.0003906314,0.9969868,0.00143759],"study_design_scores_gemma":[0.00006953376,0.000007364747,0.00178503,0.000177946,0.00001387149,0.00003535709,0.00006942814,0.0001712229,0.0001967942,0.0007827653,0.9966733,0.00001736327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004156919,0.00002494238,0.00004988788,0.00003463287,0.00001120403,0.000005004621,0.9987627,0.0004387503,0.0006312996],"genre_scores_gemma":[0.0001549164,0.00002933465,0.0002052866,0.00004026786,0.000003066124,0.0000384029,0.9989296,0.000164968,0.0004342618],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8497989,"threshold_uncertainty_score":0.5024728,"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."}}