{"id":"W6924885497","doi":"10.15468/dl.z2azs2","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herbarium; Download; Matching (statistics); Field (mathematics); State (computer science); 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":[0.001100635,0.002099243,0.001473186,0.005347515,0.0009789524,0.002535995,0.002879636,0.002120227,0.1243812],"category_scores_gemma":[0.006240658,0.0008522844,0.001178861,0.009658017,0.0004471053,0.002440453,0.002643605,0.002027196,0.1894841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711097,"about_ca_system_score_gemma":0.002249023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02238549,"about_ca_topic_score_gemma":0.03759808,"domain_scores_codex":[0.9988328,0.0001603589,0.0001505443,0.000386785,0.0002803808,0.000189167],"domain_scores_gemma":[0.9974411,0.0006649063,0.0002335749,0.0007072965,0.0006504547,0.0003028304],"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":[0.00002980686,0.00001323821,0.0003541815,0.0004093832,0.00001246466,0.00001608271,0.00002201972,0.0001336327,0.00009475229,0.0003853147,0.9970391,0.001490048],"study_design_scores_gemma":[0.00007093136,0.000009327456,0.001878434,0.0001829446,0.00001194896,0.00004315576,0.00007918823,0.0002405716,0.0002055011,0.0008466537,0.9964139,0.00001738971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005804018,0.00003084593,0.00005842693,0.00004276608,0.00001327796,0.00000767518,0.998492,0.0005540066,0.0007430072],"genre_scores_gemma":[0.0001714224,0.00003062979,0.0002347765,0.00004209845,0.000003405154,0.00004337295,0.9988877,0.0001427052,0.000443848],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8756188,"threshold_uncertainty_score":0.4160967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02118016115945828,"score_gpt":0.2110622236844495,"score_spread":0.1898820625249912,"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."}}