{"id":"W6961761763","doi":"10.15468/dl.mtrz9f","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); Set (abstract data type); 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":[0.001115662,0.001962732,0.001627294,0.004978468,0.001064696,0.002673834,0.002982036,0.00207812,0.1689555],"category_scores_gemma":[0.00656096,0.0009872636,0.001180636,0.009848415,0.0004667813,0.002363359,0.002679524,0.002112328,0.2256529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00171538,"about_ca_system_score_gemma":0.002534053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02333818,"about_ca_topic_score_gemma":0.03662473,"domain_scores_codex":[0.9989117,0.0001411916,0.0001387313,0.0003777706,0.0002475031,0.0001831033],"domain_scores_gemma":[0.9973889,0.0007494772,0.0002403898,0.0006896206,0.0006331514,0.000298527],"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":[0.0000281606,0.00001069581,0.0003554101,0.0005303923,0.00001468524,0.00001576312,0.00002494532,0.0001189403,0.000132114,0.0004106738,0.9970414,0.001316756],"study_design_scores_gemma":[0.00006706531,0.000007510611,0.001716201,0.0001876049,0.00001465926,0.00003776949,0.00007172593,0.0001371054,0.0002040406,0.0007366197,0.9968015,0.00001808509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003590476,0.00002226645,0.00004621413,0.00003340203,0.00001109762,0.000004941122,0.9988549,0.0003837508,0.0006075373],"genre_scores_gemma":[0.0001446564,0.00002991677,0.0001954044,0.00004173903,0.000002832213,0.00004018599,0.998944,0.000168333,0.00043297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8310445,"threshold_uncertainty_score":0.5652125,"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."}}