{"id":"W6924552261","doi":"10.15468/dl.spu844","title":"Occurrence Download","year":2023,"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); Identification (biology); Set (abstract data type)","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":[0.0008913599,0.001976428,0.001674579,0.005230836,0.00115214,0.002777814,0.002913552,0.00229188,0.1462349],"category_scores_gemma":[0.005666581,0.0009202863,0.001453391,0.009868857,0.0004615181,0.002536549,0.002678238,0.002095104,0.223876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594102,"about_ca_system_score_gemma":0.002417549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01997152,"about_ca_topic_score_gemma":0.03304261,"domain_scores_codex":[0.9989147,0.0001483079,0.0001414602,0.0003915289,0.0002201076,0.0001839677],"domain_scores_gemma":[0.9977717,0.0006138802,0.0001913516,0.0005926444,0.0005869017,0.0002435501],"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":[0.0000346365,0.00001363809,0.0004656686,0.0007400757,0.00001812195,0.00002017972,0.00002735117,0.0001373875,0.0001471318,0.0003908185,0.996068,0.001936989],"study_design_scores_gemma":[0.00006696696,0.000009860366,0.001842664,0.0002373587,0.00001721081,0.00004765718,0.00008192548,0.0001814766,0.000201541,0.0007565113,0.9965384,0.00001843604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005781851,0.00004799983,0.00005414923,0.00004656066,0.00001643688,0.000006980255,0.9985134,0.000495683,0.0007609676],"genre_scores_gemma":[0.0001717988,0.00004648238,0.0002146789,0.0000565892,0.000004157177,0.00004449446,0.9988233,0.0001400644,0.000498276],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8537651,"threshold_uncertainty_score":0.4892046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}