{"id":"W6887074902","doi":"10.15468/dl.pnhknz","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); Data set","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":[0.001037454,0.001977262,0.001519795,0.005206058,0.0008212274,0.002350935,0.002744023,0.001947127,0.1431046],"category_scores_gemma":[0.005643835,0.0009007311,0.001126364,0.01092889,0.0004360097,0.002224301,0.002304997,0.001819559,0.1971899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631606,"about_ca_system_score_gemma":0.002316758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02328629,"about_ca_topic_score_gemma":0.03284023,"domain_scores_codex":[0.9989843,0.0001358679,0.0001380457,0.0003414551,0.0002286058,0.0001717024],"domain_scores_gemma":[0.9975821,0.0006544009,0.0002446701,0.0006311619,0.0005968528,0.0002908198],"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":[0.00003191018,0.0000117886,0.0003963267,0.0005212466,0.00001603382,0.00001502005,0.00002190972,0.0001575267,0.0001172872,0.0003862193,0.9968401,0.001484752],"study_design_scores_gemma":[0.00007847264,0.000009107428,0.002309466,0.0001811525,0.00001548446,0.00004028661,0.00006878369,0.0001873449,0.0002078294,0.0007511289,0.9961321,0.00001887987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003781042,0.00002364902,0.00003547244,0.00002918593,0.00001000529,0.000004103317,0.9990776,0.0002946241,0.0004875908],"genre_scores_gemma":[0.0001465206,0.00002839752,0.0001449178,0.00003372411,0.000002872438,0.00003049725,0.9991421,0.0001003751,0.0003706464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8568954,"threshold_uncertainty_score":0.4787325,"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."}}