{"id":"W6887308131","doi":"10.15468/dl.xjv8ru","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); Order (exchange); Data collection","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":[0.0009465119,0.002015165,0.001570823,0.004683245,0.000997293,0.00242076,0.002818447,0.002154159,0.1390786],"category_scores_gemma":[0.005625875,0.0008853842,0.001237858,0.00918518,0.0004526441,0.002165623,0.002599805,0.001981961,0.2022207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590469,"about_ca_system_score_gemma":0.002339812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02382694,"about_ca_topic_score_gemma":0.03783913,"domain_scores_codex":[0.999032,0.0001258548,0.0001228261,0.0003329014,0.0002244818,0.0001619768],"domain_scores_gemma":[0.997762,0.0006167628,0.0002055769,0.0006064826,0.0005473588,0.0002618863],"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":[0.00003074275,0.00001256177,0.0004333094,0.0005547077,0.0000164197,0.00001781252,0.00002842071,0.0001524426,0.0001498572,0.0004055813,0.9966079,0.001590414],"study_design_scores_gemma":[0.00007129463,0.000008205972,0.001952503,0.0001883181,0.00001468167,0.00004037966,0.00007880975,0.0001855467,0.0002148077,0.0007556907,0.9964713,0.00001856796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004938888,0.0000275341,0.00005106558,0.00003657768,0.0000126918,0.000005574981,0.9987388,0.0004479506,0.0006303451],"genre_scores_gemma":[0.0001708932,0.00003064032,0.0002119766,0.00004261165,0.000003186707,0.00004066346,0.9989366,0.0001525558,0.0004108374],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8609214,"threshold_uncertainty_score":0.4652642,"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."}}