{"id":"W6887042203","doi":"10.15468/dl.nm8weq","title":"Occurrence Download","year":2018,"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); Order (exchange); Real world data","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":[0.000988847,0.00195173,0.001673396,0.005479171,0.0009938201,0.002663815,0.003063449,0.001988949,0.1463391],"category_scores_gemma":[0.006357131,0.0008703943,0.0012019,0.01118333,0.0004395493,0.00223998,0.002634499,0.002036388,0.2002486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692249,"about_ca_system_score_gemma":0.002749806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02873013,"about_ca_topic_score_gemma":0.04676624,"domain_scores_codex":[0.9988993,0.0001356396,0.0001418229,0.0003739365,0.0002590515,0.0001902632],"domain_scores_gemma":[0.9974719,0.0006620646,0.0002483826,0.0006436204,0.0006698608,0.0003042617],"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":[0.00002806868,0.00001025834,0.000400203,0.000500563,0.00001645135,0.00001569426,0.00002349519,0.0001176763,0.0001030347,0.0003931944,0.9971009,0.001290392],"study_design_scores_gemma":[0.00006983166,0.000006825822,0.001964221,0.0001945257,0.00001562028,0.00003797474,0.0000717234,0.0001416278,0.0001805115,0.0007530988,0.9965467,0.00001736829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003941322,0.00002666486,0.00004081594,0.00003296743,0.00001052314,0.000004650082,0.9988846,0.0003554799,0.0006048057],"genre_scores_gemma":[0.0001462632,0.00003099029,0.0001622877,0.00003693884,0.000002977661,0.00003326238,0.9990596,0.0001285002,0.0003990934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8536608,"threshold_uncertainty_score":0.4895532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}