{"id":"W6905785481","doi":"10.15468/dl.t6ruwe","title":"Occurrence Download","year":2022,"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); Data set","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":[0.0009560707,0.002020014,0.001530616,0.004661066,0.001047957,0.002472443,0.002851752,0.002072775,0.1518558],"category_scores_gemma":[0.005872196,0.0009118123,0.001184224,0.009001353,0.0004550903,0.002299026,0.00254227,0.002070194,0.2235837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607212,"about_ca_system_score_gemma":0.002333323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02225225,"about_ca_topic_score_gemma":0.03832811,"domain_scores_codex":[0.9989858,0.0001359191,0.0001254795,0.000351143,0.000232985,0.0001686101],"domain_scores_gemma":[0.9976135,0.0006440351,0.0002100903,0.0006533065,0.0006042651,0.0002747153],"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":[0.00002622055,0.00001099584,0.0003474469,0.0004452901,0.00001237326,0.00001453011,0.00002355002,0.0001210769,0.0001106172,0.0003534885,0.9971854,0.00134901],"study_design_scores_gemma":[0.00006376514,0.000007387865,0.001616413,0.0001682129,0.00001226148,0.00003646151,0.00007352233,0.0001599098,0.0001937831,0.0007400505,0.9969112,0.00001708219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000447723,0.00002600277,0.00005207937,0.00003799109,0.00001353337,0.0000058453,0.9986475,0.0004674599,0.0007048852],"genre_scores_gemma":[0.0001574324,0.00002888962,0.0002162372,0.00004243394,0.000003327794,0.00004191534,0.9988697,0.0001692391,0.0004707942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8481442,"threshold_uncertainty_score":0.5080082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}