{"id":"W6924622854","doi":"10.15468/dl.wgwa99","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009248485,0.001844232,0.001559804,0.004986079,0.001068436,0.002973623,0.002794103,0.001858665,0.200529],"category_scores_gemma":[0.006413313,0.0009176036,0.00135451,0.00969814,0.0004200363,0.002610401,0.0028315,0.001916109,0.2833024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456607,"about_ca_system_score_gemma":0.002364191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02029211,"about_ca_topic_score_gemma":0.03226659,"domain_scores_codex":[0.9989319,0.0001331271,0.0001339774,0.0003800807,0.0002324554,0.0001884004],"domain_scores_gemma":[0.9974651,0.0006729495,0.0002059262,0.0006998256,0.0006944885,0.0002615917],"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":[0.00002797247,0.000009525489,0.0004205203,0.0005108829,0.00001430251,0.00001607611,0.00002637869,0.0001220615,0.0001171048,0.0003924584,0.9964201,0.001922636],"study_design_scores_gemma":[0.0000492726,0.000006555372,0.001536333,0.0001557661,0.00001193804,0.00003198905,0.00007669714,0.0001570955,0.0001685177,0.0007774367,0.9970127,0.00001571368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000047627,0.00003009027,0.00006826606,0.00004515361,0.00001727838,0.000006342193,0.9981845,0.0006813725,0.0009192334],"genre_scores_gemma":[0.0001934711,0.00004098755,0.0002760908,0.00005423996,0.000005060006,0.0000470224,0.9984338,0.0002604367,0.0006889313],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.799471,"threshold_uncertainty_score":0.6708363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}