{"id":"W6905820948","doi":"10.15468/dl.nxowoc","title":"Occurrence Download","year":2016,"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; Set (abstract data type)","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":[0.0009862196,0.002083654,0.001678245,0.005014246,0.0009861398,0.002659317,0.003137096,0.002151463,0.1302242],"category_scores_gemma":[0.005912608,0.0009185431,0.001191334,0.01013705,0.0004458153,0.002549316,0.002720689,0.002191662,0.1969512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756301,"about_ca_system_score_gemma":0.002569219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02516117,"about_ca_topic_score_gemma":0.04402127,"domain_scores_codex":[0.9988946,0.0001458612,0.0001405406,0.0003851757,0.0002571998,0.0001766674],"domain_scores_gemma":[0.9975593,0.0006123067,0.0002484435,0.0006790139,0.0006078549,0.000293065],"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":[0.00002808048,0.00001167537,0.0003854323,0.0004626772,0.00001484877,0.00001575447,0.00002325422,0.0001249088,0.000101555,0.0004120766,0.997177,0.001242804],"study_design_scores_gemma":[0.0000745479,0.000007261202,0.00186146,0.0001740021,0.00001332566,0.00004002969,0.00006948947,0.0001639267,0.0001854939,0.0008430037,0.9965496,0.00001784812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004297949,0.0000265837,0.00004664565,0.00003615993,0.00001068707,0.000004961066,0.9988117,0.0004051182,0.0006151707],"genre_scores_gemma":[0.0001469915,0.00002862343,0.0001769551,0.00003608801,0.000002789872,0.00003353498,0.99906,0.0001231967,0.0003918724],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8697758,"threshold_uncertainty_score":0.4356435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}