{"id":"W6943440992","doi":"10.15468/dl.rk4emu","title":"Occurrence Download","year":2022,"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); Decodes; Range (aeronautics); Record linkage","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":[0.0009408153,0.001888687,0.001598085,0.005059785,0.0009686444,0.002559621,0.002750603,0.001924827,0.1653542],"category_scores_gemma":[0.005523728,0.0009160235,0.001103841,0.01005162,0.0004546924,0.002247525,0.00251764,0.00197713,0.218761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448321,"about_ca_system_score_gemma":0.002157832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01888579,"about_ca_topic_score_gemma":0.03305445,"domain_scores_codex":[0.9990569,0.0001261989,0.0001177474,0.0003337186,0.0002052286,0.0001602111],"domain_scores_gemma":[0.9977509,0.0006448641,0.0002205385,0.0005997159,0.0005165343,0.0002673929],"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":[0.00002937021,0.00001128655,0.0004044154,0.0005747767,0.00001609735,0.00001606847,0.00002685351,0.0001315113,0.0001385189,0.0004130678,0.9967675,0.001470618],"study_design_scores_gemma":[0.00006838069,0.000007311886,0.001788222,0.0001798396,0.00001398787,0.00003606238,0.000074585,0.000127536,0.0001921683,0.0007600433,0.9967348,0.00001698599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004444861,0.00002641383,0.00004470381,0.00003125442,0.00001109451,0.000004750486,0.998833,0.0003537224,0.0006506571],"genre_scores_gemma":[0.0001736395,0.00003363765,0.0002020581,0.00004178579,0.000003407058,0.00004058887,0.9988593,0.0001615764,0.0004840554],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8346459,"threshold_uncertainty_score":0.5531648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}