{"id":"W6924929100","doi":"10.15468/dl.wexhjy","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":"Download; Matching (statistics); Range (aeronautics); 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":[0.001116385,0.001978826,0.001668488,0.005531189,0.0009999294,0.002784322,0.002885395,0.00203272,0.1664724],"category_scores_gemma":[0.006781089,0.001002314,0.001172843,0.01086031,0.0004533186,0.002444607,0.002633764,0.002023092,0.223176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629943,"about_ca_system_score_gemma":0.002459026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02236156,"about_ca_topic_score_gemma":0.03523202,"domain_scores_codex":[0.998821,0.0001565647,0.0001612871,0.0004090065,0.0002663362,0.0001857279],"domain_scores_gemma":[0.9972274,0.0008149453,0.0002687734,0.0007137959,0.0006656809,0.000309317],"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":[0.00002811163,0.00001025343,0.0003656763,0.0005515686,0.00001542647,0.00001527698,0.00002486286,0.0001214021,0.0001091435,0.0003844533,0.997034,0.001339854],"study_design_scores_gemma":[0.0000682664,0.000007120296,0.001779246,0.0001968374,0.00001446618,0.00003552077,0.00007359154,0.0001403877,0.0001698698,0.0007358337,0.9967616,0.0000173192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003403419,0.00002266963,0.00004164448,0.00003157353,0.0000103414,0.000004584999,0.9989479,0.0003349934,0.0005721853],"genre_scores_gemma":[0.0001457522,0.00003230735,0.000184447,0.00004021022,0.000003191953,0.00003915518,0.9989649,0.0001552105,0.0004348037],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8335276,"threshold_uncertainty_score":0.5569055,"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."}}