{"id":"W6905848137","doi":"10.15468/dl.vv67kw","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); Alien; The Internet","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":[0.001020309,0.00191263,0.001582361,0.004977837,0.0009937586,0.002497931,0.002703983,0.00204418,0.1584956],"category_scores_gemma":[0.006159194,0.0009036995,0.001237637,0.009930964,0.0004532317,0.002187805,0.002528795,0.0019402,0.2193617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558695,"about_ca_system_score_gemma":0.002372605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02227698,"about_ca_topic_score_gemma":0.03549448,"domain_scores_codex":[0.9989434,0.0001471549,0.0001331625,0.0003661508,0.0002339963,0.0001761839],"domain_scores_gemma":[0.9973806,0.0007724476,0.0002388866,0.0006860951,0.0006292742,0.0002926374],"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":[0.00002889921,0.00001164496,0.0003755201,0.0005611321,0.0000143075,0.00001505379,0.00002435821,0.0001177819,0.000116338,0.0003477688,0.9970129,0.00137437],"study_design_scores_gemma":[0.00007849544,0.000009631876,0.002115172,0.0002148636,0.00001546392,0.0000386655,0.00008103428,0.0001441119,0.0001932075,0.0007262283,0.9963653,0.00001777754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004646268,0.00002915988,0.00004148947,0.00003784901,0.00001261789,0.000005908476,0.9988134,0.0003857102,0.000627447],"genre_scores_gemma":[0.0001656389,0.00003501831,0.0001862006,0.00004748621,0.000003646003,0.00004629233,0.9989033,0.0001473473,0.0004650559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8415045,"threshold_uncertainty_score":0.5302205,"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."}}