{"id":"W6961781559","doi":"10.15468/dl.qy43nu","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Viet nam; Population","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":[0.0007064373,0.002938916,0.00212659,0.007254023,0.001179295,0.002954638,0.002248249,0.002578028,0.2456751],"category_scores_gemma":[0.005011744,0.0009372039,0.001986092,0.00929116,0.0003783135,0.003126283,0.00302533,0.00196893,0.3042861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321186,"about_ca_system_score_gemma":0.00249515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0228008,"about_ca_topic_score_gemma":0.03667084,"domain_scores_codex":[0.999001,0.0001116082,0.0001515652,0.0003468964,0.0002029466,0.0001860421],"domain_scores_gemma":[0.9977649,0.0006850415,0.0001904761,0.0005208992,0.0005202419,0.0003184333],"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":[0.00007072231,0.00002667506,0.0004936267,0.0008619727,0.00002156113,0.00003755321,0.00003466102,0.0002024394,0.000158206,0.0004265245,0.9937416,0.003924527],"study_design_scores_gemma":[0.0001155205,0.00001943406,0.001958915,0.0002487687,0.00002593748,0.00008163541,0.0001163353,0.0005135262,0.0002364532,0.001261906,0.9953899,0.00003156238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001050911,0.00007949844,0.0001138058,0.00005557555,0.00003225921,0.00001496295,0.9961513,0.001706819,0.00174074],"genre_scores_gemma":[0.0003213703,0.00008617872,0.0006257482,0.00009913502,0.00000993215,0.00006501594,0.9973626,0.0003570394,0.001073046],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7543249,"threshold_uncertainty_score":0.821865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0697718349640465,"score_gpt":0.3062985726686077,"score_spread":0.2365267377045612,"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."}}