{"id":"W6962211678","doi":"10.15468/dl.qk5844","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.000924228,0.002040738,0.001535091,0.00505338,0.0009699312,0.002496477,0.002639909,0.001923054,0.1706803],"category_scores_gemma":[0.005932203,0.0008834835,0.001204071,0.01008958,0.0004545971,0.002074664,0.002517411,0.00181431,0.2283313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001492036,"about_ca_system_score_gemma":0.002365933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02069001,"about_ca_topic_score_gemma":0.03399758,"domain_scores_codex":[0.9990224,0.0001327646,0.0001209242,0.0003517252,0.0002083762,0.0001638022],"domain_scores_gemma":[0.9976758,0.0006797555,0.000221105,0.0005814817,0.0005842042,0.0002576731],"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":[0.0000304512,0.00001110915,0.0003707804,0.0005759925,0.00001407573,0.00001501107,0.00002264804,0.0001281333,0.0001219343,0.0003522424,0.9968621,0.001495509],"study_design_scores_gemma":[0.0000758482,0.000009939388,0.001741314,0.0001952478,0.00001484972,0.0000354933,0.00006790577,0.0001496427,0.0001897496,0.0007848623,0.9967169,0.00001826688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004284316,0.00002787353,0.000040805,0.00003334526,0.00001240801,0.000005530103,0.9988342,0.0003741196,0.0006288196],"genre_scores_gemma":[0.0001631941,0.00003711742,0.0002107734,0.00004822666,0.000003840012,0.00004954101,0.9987986,0.00016393,0.000524795],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8293197,"threshold_uncertainty_score":0.5709825,"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."}}