{"id":"W6924457481","doi":"10.15468/dl.rhv5jv","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); Phellinus linteus; Snapshot (computer storage); Range (aeronautics)","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":[0.0009615852,0.001866801,0.001482093,0.004890169,0.001023287,0.002692342,0.002782073,0.002044306,0.1693705],"category_scores_gemma":[0.006142929,0.0008926819,0.001203824,0.009355284,0.000427401,0.002475842,0.002568085,0.002037258,0.2372249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001568832,"about_ca_system_score_gemma":0.002267841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01927074,"about_ca_topic_score_gemma":0.03297668,"domain_scores_codex":[0.9989543,0.0001530385,0.0001342497,0.000375126,0.0002183532,0.0001649323],"domain_scores_gemma":[0.9975584,0.0007243046,0.0002137813,0.0006274733,0.0006129099,0.0002631752],"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":[0.00002485437,0.00001090822,0.0003473712,0.0004961935,0.0000123124,0.00001399457,0.0000203763,0.0001026644,0.00009223137,0.0003389494,0.9971174,0.001422814],"study_design_scores_gemma":[0.00006382161,0.000008129995,0.001682851,0.0002001778,0.00001279962,0.0000362315,0.00007524206,0.000149616,0.0001635222,0.000765748,0.9968251,0.00001679587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004052357,0.00002884479,0.00004672042,0.00004258761,0.00001365923,0.000006341667,0.9987636,0.0003657002,0.0006921521],"genre_scores_gemma":[0.000157242,0.00003722649,0.0002078639,0.00005355286,0.000004205808,0.00005243888,0.9987967,0.0001432938,0.0005475131],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8306295,"threshold_uncertainty_score":0.5666009,"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."}}