{"id":"W6887289258","doi":"10.15468/dl.w2znkh","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); The Internet","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":[0.0009372186,0.001993104,0.00161172,0.004872668,0.00104227,0.00245618,0.002909406,0.002192519,0.1502002],"category_scores_gemma":[0.005477353,0.0009127676,0.00119954,0.009362522,0.0004604343,0.002233472,0.002609501,0.002041927,0.2202133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001654242,"about_ca_system_score_gemma":0.002330441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02279488,"about_ca_topic_score_gemma":0.0384253,"domain_scores_codex":[0.9990595,0.0001198746,0.0001154173,0.0003292222,0.0002156166,0.0001604435],"domain_scores_gemma":[0.9978434,0.0005710138,0.000203364,0.0005818655,0.000543974,0.0002564004],"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":[0.00002832438,0.00001169745,0.0004104764,0.0005374426,0.00001478856,0.00001627696,0.00002719433,0.0001382813,0.0001376405,0.0003872967,0.9966828,0.001607731],"study_design_scores_gemma":[0.00006853508,0.000008042683,0.001916033,0.0001878638,0.00001398631,0.0000393017,0.00007790996,0.0001613298,0.0001922063,0.000734055,0.9965827,0.0000180634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004544452,0.00002770959,0.00004883838,0.00003507112,0.00001229309,0.000005401481,0.9987823,0.0004222301,0.0006206547],"genre_scores_gemma":[0.000155679,0.00003111894,0.0002187753,0.00004244782,0.000003088806,0.0000414894,0.9989279,0.0001553063,0.0004242037],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8497998,"threshold_uncertainty_score":0.5024698,"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."}}