{"id":"W6906092334","doi":"10.15468/dl.rrhlw6","title":"Occurrence Download","year":2019,"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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.0009781865,0.001938737,0.001659829,0.005359352,0.00113582,0.002782192,0.002971136,0.001859803,0.2169659],"category_scores_gemma":[0.006089012,0.0010445,0.001182144,0.01041771,0.0004665211,0.002476644,0.003072381,0.001948259,0.2758988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001866079,"about_ca_system_score_gemma":0.002716007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03311749,"about_ca_topic_score_gemma":0.05082635,"domain_scores_codex":[0.999069,0.0001072951,0.0001099403,0.0003060368,0.0002280566,0.0001796169],"domain_scores_gemma":[0.9976356,0.0006171814,0.0001978759,0.0006117515,0.0006650227,0.0002725273],"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":[0.00002449347,0.000008322601,0.0002936259,0.0005135392,0.00001218384,0.00001502362,0.00002653077,0.00008600947,0.0001044135,0.0004045927,0.9970399,0.001471516],"study_design_scores_gemma":[0.0000535903,0.000005472788,0.001547213,0.0002103765,0.00001217802,0.00003394677,0.00007416594,0.0001039502,0.0001734722,0.0006944167,0.9970748,0.00001634106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002999933,0.0000218458,0.00004922356,0.00003061494,0.00001107939,0.000005266771,0.9985285,0.0005007684,0.0008226146],"genre_scores_gemma":[0.0001558004,0.00003721173,0.0002311346,0.00004603742,0.000003288799,0.00004440357,0.9986452,0.0002716901,0.0005652478],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7830341,"threshold_uncertainty_score":0.7258232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}