{"id":"W6887248691","doi":"10.15468/dl.u9knef","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); Data set; 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":[0.00102351,0.002004859,0.001666697,0.004779938,0.00101078,0.002667935,0.002886157,0.00212649,0.163578],"category_scores_gemma":[0.006236177,0.0009342071,0.001160249,0.009606013,0.0004535297,0.002546787,0.002620257,0.002066929,0.2288337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555625,"about_ca_system_score_gemma":0.002348756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0201195,"about_ca_topic_score_gemma":0.03522341,"domain_scores_codex":[0.9989123,0.000159424,0.0001330606,0.0003893875,0.000233612,0.0001721891],"domain_scores_gemma":[0.9973832,0.000756721,0.000237086,0.0007060916,0.0006231267,0.000293813],"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":[0.00002847202,0.00001101482,0.0003403801,0.0005357356,0.00001422034,0.00001387153,0.00002196895,0.0001214708,0.0001018417,0.000370887,0.9971566,0.001283526],"study_design_scores_gemma":[0.00007217036,0.000007650774,0.001612781,0.0001851669,0.00001307616,0.00003287404,0.00006509859,0.0001403662,0.0001660291,0.0008549985,0.9968321,0.00001764419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003611547,0.00002556353,0.00004416026,0.00003490867,0.00001068275,0.00000504107,0.9988411,0.0003796703,0.0006227946],"genre_scores_gemma":[0.0001561177,0.00003269472,0.0002008094,0.0000471526,0.000003434597,0.00004239779,0.9988912,0.0001596496,0.0004666892],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.836422,"threshold_uncertainty_score":0.5472231,"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."}}