{"id":"W6962302959","doi":"10.15468/dl.kk4svs","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); Data set; Table (database)","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":[0.001118963,0.001996702,0.001621663,0.005289142,0.001066108,0.002767676,0.002947781,0.0021557,0.1716603],"category_scores_gemma":[0.006792537,0.0009615967,0.001188413,0.01034442,0.0004795161,0.002463484,0.002730646,0.002082077,0.2311876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676799,"about_ca_system_score_gemma":0.002485944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02367823,"about_ca_topic_score_gemma":0.03807269,"domain_scores_codex":[0.9988329,0.0001586704,0.0001546055,0.0004039409,0.0002625773,0.0001874169],"domain_scores_gemma":[0.9970809,0.0008254222,0.0002685564,0.0007781615,0.0007271901,0.0003197838],"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":[0.00002696542,0.0000106104,0.0003457619,0.0004944181,0.00001393733,0.00001541189,0.00002418691,0.0001122231,0.0001022323,0.0003879309,0.9972217,0.001244638],"study_design_scores_gemma":[0.00006671916,0.000007016465,0.001672619,0.000178142,0.00001317376,0.00003676677,0.00007306459,0.0001360413,0.0001672296,0.0007531895,0.9968783,0.00001767411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003510917,0.00002273044,0.00004500898,0.00003568584,0.0000115181,0.000005047229,0.9988633,0.0003658079,0.0006158088],"genre_scores_gemma":[0.0001486325,0.00003060468,0.0001966729,0.00004386444,0.000003334952,0.00004048291,0.998926,0.0001593392,0.0004511101],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8283397,"threshold_uncertainty_score":0.5742609,"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."}}