{"id":"W6924539634","doi":"10.15468/dl.pyjahf","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); Order (exchange); Data set","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":[0.0009540538,0.001888859,0.001549542,0.005649447,0.001009625,0.002493937,0.002706914,0.001809791,0.1673957],"category_scores_gemma":[0.005818748,0.0009041572,0.001165549,0.01059493,0.0004355668,0.002173307,0.002754054,0.001908297,0.236508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665039,"about_ca_system_score_gemma":0.002939187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02986043,"about_ca_topic_score_gemma":0.05275096,"domain_scores_codex":[0.998882,0.0001329875,0.0001350782,0.0003810318,0.0002719451,0.0001969803],"domain_scores_gemma":[0.9972413,0.0006494607,0.0002504284,0.0007343961,0.0007787336,0.0003456259],"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":[0.00002918889,0.000009232202,0.0003439937,0.0005349585,0.00001491936,0.00001306073,0.00002270798,0.0001044726,0.0001401965,0.0003522028,0.9969155,0.001519543],"study_design_scores_gemma":[0.00005527938,0.000006773833,0.001817752,0.0001692992,0.00001304894,0.00003022221,0.00006143884,0.0001019891,0.0001911376,0.0006047597,0.9969316,0.00001676222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003565987,0.00002373981,0.00003913081,0.00002814852,0.00001019044,0.000005004947,0.9988384,0.00038101,0.0006386593],"genre_scores_gemma":[0.0001485677,0.00003238137,0.0001936192,0.0000392414,0.000003268535,0.000036355,0.9989026,0.0001621173,0.0004818959],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8326043,"threshold_uncertainty_score":0.5599943,"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."}}