{"id":"W6962202379","doi":"10.15468/dl.4bv3nn","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":[0.0009135289,0.001877755,0.001600663,0.005170541,0.00107792,0.00298421,0.002805171,0.001905345,0.1954649],"category_scores_gemma":[0.006300363,0.0009363929,0.001361879,0.01002558,0.0004185815,0.002624779,0.00284466,0.001942926,0.2776514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480001,"about_ca_system_score_gemma":0.002388503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02045967,"about_ca_topic_score_gemma":0.03245299,"domain_scores_codex":[0.9989101,0.0001352409,0.0001377782,0.0003870598,0.0002367939,0.0001930185],"domain_scores_gemma":[0.9974746,0.0006620517,0.0002100342,0.0006989658,0.0006883643,0.0002660408],"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":[0.0000280244,0.000009629576,0.0004381739,0.0005183926,0.00001477305,0.00001644885,0.00002575121,0.0001248909,0.0001190776,0.0003813251,0.9963686,0.001954862],"study_design_scores_gemma":[0.00004960351,0.00000694804,0.001634634,0.0001597025,0.00001251473,0.00003410054,0.0000786407,0.0001609227,0.000168954,0.0007530038,0.9969248,0.0000160837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004883744,0.00003208735,0.00006584788,0.00004486968,0.0000178177,0.000006120637,0.9982612,0.0006542873,0.0008690263],"genre_scores_gemma":[0.0001885686,0.00004203039,0.0002662672,0.0000528793,0.000004899496,0.00004479589,0.9985023,0.0002355306,0.0006627804],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8045351,"threshold_uncertainty_score":0.6538953,"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."}}