{"id":"W6886894257","doi":"10.15468/dl.4gnsvb","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":"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":[0.0009113647,0.00189941,0.001523417,0.005199712,0.001018375,0.002794745,0.002789096,0.001928982,0.1785177],"category_scores_gemma":[0.006258923,0.0009437671,0.001180162,0.01063273,0.0004328965,0.002475796,0.002612829,0.002085476,0.2472328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711623,"about_ca_system_score_gemma":0.002560129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02475022,"about_ca_topic_score_gemma":0.03975572,"domain_scores_codex":[0.9989733,0.0001312897,0.0001254684,0.0003558945,0.0002433867,0.000170648],"domain_scores_gemma":[0.9976393,0.0006553196,0.0002125986,0.0006170853,0.0006154092,0.0002602305],"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":[0.00002358375,0.000009124257,0.0003311803,0.0004436682,0.00001248719,0.00001269616,0.00002249265,0.000115162,0.00009172605,0.0003948676,0.9970521,0.001491074],"study_design_scores_gemma":[0.00005485465,0.000006062758,0.001441267,0.0001671273,0.00001168186,0.00003101819,0.00007111818,0.0001409326,0.000156329,0.0007782467,0.9971259,0.0000154153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003644773,0.00002661304,0.00004762883,0.0000392002,0.00001246729,0.000004845675,0.9986295,0.0004347348,0.0007686486],"genre_scores_gemma":[0.0001512294,0.00003671039,0.0002173916,0.00004505866,0.00000354616,0.00003943444,0.9987003,0.0001873334,0.0006189106],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8214824,"threshold_uncertainty_score":0.597201,"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."}}