{"id":"W6924783712","doi":"10.15468/dl.noztaw","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":"Matching (statistics); Range (aeronautics); Set (abstract data type); Download; Identification (biology)","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":[0.0008823731,0.002148204,0.001623394,0.005096763,0.0008873707,0.002551307,0.002884713,0.001868629,0.1336206],"category_scores_gemma":[0.005731187,0.0008993256,0.001224075,0.01052283,0.0004155629,0.002275614,0.002617402,0.001860445,0.1992147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576948,"about_ca_system_score_gemma":0.002463527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02320306,"about_ca_topic_score_gemma":0.03909755,"domain_scores_codex":[0.998934,0.0001394144,0.0001418534,0.0003767771,0.0002337691,0.000174199],"domain_scores_gemma":[0.997724,0.0005855054,0.0002507656,0.0005978891,0.0005705419,0.0002712964],"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":[0.00003239018,0.00001032748,0.0004566037,0.0005365325,0.00001698788,0.00001474123,0.00002206902,0.0001334212,0.0001124188,0.0004078498,0.9968157,0.001440817],"study_design_scores_gemma":[0.00007026078,0.000008655862,0.001960683,0.0001817001,0.00001602674,0.00003937771,0.00005789181,0.0001533668,0.0001916473,0.0008066967,0.9964953,0.00001841707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004536582,0.00003151465,0.00004110053,0.00003116909,0.00001138119,0.000004172749,0.9988714,0.0003682174,0.0005957066],"genre_scores_gemma":[0.0001530078,0.00003697987,0.0001630465,0.00003872764,0.000003201005,0.00003184531,0.9989844,0.0001263185,0.0004624786],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8663794,"threshold_uncertainty_score":0.4470055,"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."}}