{"id":"W6906045926","doi":"10.15468/dl.q8farz","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); 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":[0.0009349283,0.001768374,0.001412567,0.004344469,0.0009410075,0.002306629,0.002679071,0.001899867,0.1521387],"category_scores_gemma":[0.005505278,0.0008210544,0.001133418,0.009279869,0.0004211666,0.002070408,0.002294447,0.001858223,0.212631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470052,"about_ca_system_score_gemma":0.002345678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02427105,"about_ca_topic_score_gemma":0.03863499,"domain_scores_codex":[0.9990625,0.0001282626,0.0001208416,0.0003165771,0.0002192652,0.0001525531],"domain_scores_gemma":[0.9978156,0.0006016816,0.0001993038,0.0005823367,0.0005455959,0.0002554118],"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":[0.00002774788,0.000009943063,0.0003584521,0.0004130508,0.0000133801,0.00001292548,0.00002101917,0.0001255992,0.0001079401,0.0003491457,0.9971291,0.001431662],"study_design_scores_gemma":[0.0000668511,0.000007556529,0.001986362,0.0001642434,0.00001367079,0.00003543051,0.0000719983,0.000163533,0.0002022953,0.0007687187,0.9965024,0.00001698019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004320238,0.00002459077,0.00004805328,0.0000353939,0.00001161277,0.000004527901,0.9988077,0.0003872211,0.0006376701],"genre_scores_gemma":[0.0001692454,0.00002955243,0.0001884996,0.00003897474,0.000003046734,0.00003514572,0.9989255,0.0001396182,0.000470444],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8478613,"threshold_uncertainty_score":0.5089546,"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."}}