{"id":"W6906000010","doi":"10.15468/dl.sxtvaa","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); 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":[0.0009790424,0.00196397,0.001614489,0.004844426,0.0009695487,0.002406628,0.002791369,0.002156503,0.1466739],"category_scores_gemma":[0.005742496,0.0009252702,0.001174948,0.00951603,0.0004438681,0.002127255,0.002564678,0.001957302,0.2108758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612802,"about_ca_system_score_gemma":0.002333742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02101798,"about_ca_topic_score_gemma":0.03413186,"domain_scores_codex":[0.9989918,0.0001298205,0.0001320914,0.0003433654,0.0002303779,0.0001725304],"domain_scores_gemma":[0.9977345,0.0006068252,0.0002285558,0.000602859,0.0005573822,0.0002698266],"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":[0.00003087077,0.00001184697,0.0004150779,0.0005554931,0.00001579595,0.0000159839,0.00002596584,0.0001379411,0.0001352189,0.000386469,0.9968015,0.001467685],"study_design_scores_gemma":[0.00007985102,0.000008737365,0.001993876,0.0001981826,0.00001504477,0.00004050084,0.00007539542,0.000169714,0.0002085466,0.0007312546,0.9964611,0.00001787336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004233164,0.00002590694,0.00004229766,0.00003321882,0.00001137803,0.000005157709,0.9989117,0.0003739131,0.0005541063],"genre_scores_gemma":[0.0001579745,0.00003053021,0.0001946122,0.0000402481,0.00000307414,0.0000392545,0.9990112,0.000138484,0.0003846225],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8533261,"threshold_uncertainty_score":0.4906732,"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."}}