{"id":"W6943959260","doi":"10.15468/dl.tqrqwg","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; Arthropod; Entomology; Matching (statistics); State (computer science); Range (aeronautics)","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":[0.001188557,0.002494274,0.002040577,0.006533048,0.001335294,0.003924301,0.003353536,0.00240661,0.2357086],"category_scores_gemma":[0.007861681,0.001198676,0.001781661,0.01121337,0.0004279363,0.004246885,0.003980835,0.002436542,0.3574983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001909912,"about_ca_system_score_gemma":0.002450274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037554,"about_ca_topic_score_gemma":0.03224593,"domain_scores_codex":[0.9984693,0.0001806836,0.000206342,0.0005548362,0.0003302446,0.0002584737],"domain_scores_gemma":[0.9968711,0.0007684822,0.0002486028,0.0008719604,0.000910287,0.000329677],"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":[0.00003772587,0.00001215517,0.0003494502,0.0005573898,0.00001457451,0.00001749455,0.00002746749,0.00009303598,0.0001031129,0.0003857248,0.9959038,0.002498224],"study_design_scores_gemma":[0.00005168281,0.00000933129,0.001233502,0.0001866563,0.00001226374,0.00003749055,0.00009035994,0.0001632932,0.0001663123,0.000817822,0.9972134,0.00001791795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00004635464,0.00003760517,0.00008691578,0.00005329508,0.00002120251,0.000008612412,0.9976032,0.001094147,0.00104861],"genre_scores_gemma":[0.0001603639,0.00004917069,0.0003806568,0.00006895969,0.000005952796,0.00005431934,0.9980974,0.0004089327,0.0007743991],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7642914,"threshold_uncertainty_score":0.7885239,"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."}}