{"id":"W6887115181","doi":"10.15468/dl.r6hxaf","title":"Occurrence Download","year":2022,"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); State (computer science)","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":[0.0009745767,0.00181672,0.001488889,0.004579773,0.0009991984,0.00231796,0.002778701,0.002112248,0.1365561],"category_scores_gemma":[0.005588022,0.0008516784,0.001133842,0.008514213,0.0004412454,0.002178386,0.00241682,0.001963407,0.194837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503895,"about_ca_system_score_gemma":0.002174771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0183985,"about_ca_topic_score_gemma":0.03145514,"domain_scores_codex":[0.9990222,0.0001355377,0.0001250225,0.0003457627,0.0002105696,0.0001608081],"domain_scores_gemma":[0.9976823,0.0006483049,0.0002186687,0.0006203011,0.0005523145,0.0002780512],"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":[0.00003062027,0.00001383839,0.0004396591,0.0005279581,0.00001469449,0.00001635857,0.00002444101,0.0001369215,0.000139921,0.0003693528,0.9968278,0.001458324],"study_design_scores_gemma":[0.00008162946,0.00001033008,0.002238345,0.0002053186,0.00001567978,0.00004548614,0.00008368208,0.0001845303,0.0002148434,0.0007513306,0.9961501,0.00001865849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005869399,0.00003072987,0.00004844756,0.00004099549,0.0000140463,0.000006100466,0.998771,0.000378863,0.0006509863],"genre_scores_gemma":[0.0001760806,0.00003106774,0.0001990757,0.00004474574,0.000003411221,0.00004250147,0.9989617,0.0001193657,0.0004220676],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8634439,"threshold_uncertainty_score":0.4568258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}