{"id":"W6962270740","doi":"10.15468/dl.wjbkcr","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":[0.001003895,0.001929351,0.001590998,0.005032535,0.001006332,0.002528367,0.002722712,0.00208411,0.1502082],"category_scores_gemma":[0.005905428,0.0008847172,0.001290022,0.009564949,0.0004588637,0.002263913,0.002496529,0.001946411,0.2207163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589238,"about_ca_system_score_gemma":0.002282604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02302144,"about_ca_topic_score_gemma":0.03618537,"domain_scores_codex":[0.9989564,0.000145026,0.0001317421,0.0003635829,0.0002280736,0.0001751281],"domain_scores_gemma":[0.9974881,0.0007219228,0.0002232121,0.0006547106,0.0006417052,0.0002702142],"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":[0.00003011822,0.00001288237,0.0004362448,0.0005783362,0.00001515351,0.00001672322,0.00002578888,0.0001272021,0.0001298144,0.0003507339,0.996723,0.001553919],"study_design_scores_gemma":[0.0000711621,0.00000967911,0.002292545,0.0002155897,0.000015782,0.0000403284,0.00008867329,0.0001591192,0.0002010101,0.0007120518,0.9961758,0.00001825145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005011149,0.00002952388,0.00004376988,0.00003881759,0.00001342514,0.000006088531,0.9987612,0.0004023299,0.0006547577],"genre_scores_gemma":[0.0001674278,0.00003422072,0.0001964055,0.00004434729,0.000003838895,0.00004302507,0.9989196,0.0001391541,0.0004519794],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8497918,"threshold_uncertainty_score":0.5024967,"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."}}