{"id":"W6924754195","doi":"10.15468/dl.oozhj9","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Matching (statistics); Download; Taxon; 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":[0.0009313595,0.001858832,0.001607086,0.005602096,0.001119133,0.003071546,0.00281958,0.001856094,0.1843941],"category_scores_gemma":[0.007019373,0.0009345533,0.001302012,0.01096938,0.0004283303,0.002601656,0.002879669,0.002006975,0.2657502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016208,"about_ca_system_score_gemma":0.002680622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02550331,"about_ca_topic_score_gemma":0.03902602,"domain_scores_codex":[0.9988814,0.0001349895,0.0001571386,0.0003824381,0.0002502124,0.0001938135],"domain_scores_gemma":[0.9972724,0.0007140208,0.0002455374,0.0007180723,0.0007638484,0.000286118],"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":[0.00002571872,0.000008371278,0.0004126579,0.0005433559,0.00001399553,0.000016262,0.00002840395,0.00009573049,0.00009460302,0.000402004,0.9966529,0.001705956],"study_design_scores_gemma":[0.00004670225,0.000005595397,0.001497203,0.0001841822,0.00001214922,0.00003417849,0.00007640503,0.0001117041,0.0001347524,0.000688611,0.9971942,0.00001426275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003918645,0.00003054127,0.00005496983,0.00004117474,0.00001491704,0.000005539881,0.9984803,0.0005191612,0.0008142],"genre_scores_gemma":[0.0001550551,0.00004221748,0.0002218562,0.00004847584,0.000004190757,0.00004076601,0.9986748,0.0002056598,0.0006070068],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8156059,"threshold_uncertainty_score":0.6168597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}