{"id":"W6887089005","doi":"10.15468/dl.q6aqkn","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); Alien; 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":[0.001043529,0.001942828,0.00158587,0.00506682,0.0009965583,0.002583115,0.002817582,0.002155064,0.1533383],"category_scores_gemma":[0.006218684,0.0009096023,0.001246015,0.009898937,0.0004641841,0.00231599,0.00251213,0.002021071,0.2165628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630567,"about_ca_system_score_gemma":0.002365337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02414083,"about_ca_topic_score_gemma":0.03860472,"domain_scores_codex":[0.9989021,0.0001534235,0.000141387,0.000385156,0.0002403916,0.0001775534],"domain_scores_gemma":[0.9972818,0.0007943042,0.0002496215,0.0007197965,0.0006539556,0.0003004017],"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":[0.00002969306,0.00001234906,0.0004021672,0.0005287877,0.00001486898,0.00001497908,0.0000241571,0.0001317363,0.0001150592,0.0003694016,0.9969448,0.001412012],"study_design_scores_gemma":[0.000074093,0.000009156523,0.002124498,0.0001980129,0.00001504451,0.00003769291,0.00008077233,0.000160728,0.0001894398,0.0007892381,0.9963025,0.00001879463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004241316,0.00002485514,0.00004052498,0.00003640731,0.00001160309,0.000005041788,0.9989329,0.0003373508,0.0005688936],"genre_scores_gemma":[0.0001598174,0.00003115829,0.000184597,0.00004316554,0.000003390052,0.00003963476,0.9989556,0.0001296642,0.0004529753],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8466617,"threshold_uncertainty_score":0.5129676,"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."}}