{"id":"W6924685871","doi":"10.15468/dl.pgfcpk","title":"Occurrence Download","year":2020,"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); Feature (linguistics); China","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":[0.0009198091,0.001991976,0.001524172,0.005024164,0.0009713137,0.002488399,0.002928294,0.002161936,0.1409529],"category_scores_gemma":[0.005483715,0.0009587133,0.001266222,0.009983132,0.0004342216,0.002366171,0.002401866,0.002068863,0.1956848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001675808,"about_ca_system_score_gemma":0.002280477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02060821,"about_ca_topic_score_gemma":0.03142988,"domain_scores_codex":[0.999023,0.0001351727,0.0001293924,0.0003445407,0.0002088082,0.0001592629],"domain_scores_gemma":[0.9978065,0.0006104719,0.0002021231,0.0005921648,0.000547188,0.0002416796],"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":[0.00003200628,0.00001317913,0.0004178353,0.0005873367,0.00001564165,0.00001594156,0.0000235345,0.0001466318,0.0001171174,0.0003648326,0.9966159,0.001650051],"study_design_scores_gemma":[0.00007498589,0.000008608262,0.001958232,0.0001968012,0.00001478967,0.0000409852,0.00007529826,0.0002033947,0.00020785,0.000715747,0.9964856,0.0000177221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004972029,0.00003057126,0.00004554266,0.00003796245,0.0000119597,0.000006004815,0.9987613,0.000404258,0.0006526861],"genre_scores_gemma":[0.0001684016,0.00003447709,0.000209797,0.00004536832,0.000003154226,0.00004528947,0.9988931,0.000129938,0.0004705274],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8590471,"threshold_uncertainty_score":0.4715346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}