{"id":"W6905848804","doi":"10.15468/dl.kpxzn9","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)","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":[0.0009690043,0.001998372,0.001580354,0.004809947,0.0009524857,0.002422105,0.002805947,0.002025557,0.145174],"category_scores_gemma":[0.005690686,0.0009169675,0.001161223,0.009712768,0.0004463679,0.002199341,0.002482106,0.001978522,0.2052037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659516,"about_ca_system_score_gemma":0.002329875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02481165,"about_ca_topic_score_gemma":0.04021811,"domain_scores_codex":[0.9990225,0.0001302918,0.0001265198,0.0003399422,0.0002177513,0.00016316],"domain_scores_gemma":[0.9977331,0.0006452673,0.0002172526,0.0005824469,0.0005566765,0.0002652291],"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":[0.00002893584,0.0000115767,0.000392609,0.000524032,0.00001519861,0.0000151298,0.00002612391,0.0001372251,0.000122375,0.0003962343,0.9969001,0.001430435],"study_design_scores_gemma":[0.00007303032,0.000007866211,0.00188993,0.0001828904,0.00001448673,0.00003710269,0.00007619742,0.0001681116,0.0001950696,0.0007398277,0.9965978,0.00001763024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004303382,0.00002558209,0.00004510388,0.00003327795,0.00001110018,0.000004919294,0.9988638,0.0003731479,0.0006000531],"genre_scores_gemma":[0.0001589688,0.00003024685,0.0001928513,0.00003928526,0.000002970869,0.00003776481,0.9989989,0.0001393255,0.000399746],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.854826,"threshold_uncertainty_score":0.4856554,"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."}}