{"id":"W6961882778","doi":"10.15468/dl.3ka8x8","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); Data set; Set (abstract data type)","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":[0.001064112,0.002014213,0.001535777,0.005834116,0.0009583032,0.002637956,0.002831828,0.002003661,0.1632279],"category_scores_gemma":[0.006172328,0.0009226939,0.00117978,0.01017795,0.0004573937,0.002321329,0.002766684,0.001913632,0.223728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609635,"about_ca_system_score_gemma":0.00238228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01939395,"about_ca_topic_score_gemma":0.03212278,"domain_scores_codex":[0.998898,0.0001519745,0.0001477392,0.0003614901,0.0002544419,0.0001862142],"domain_scores_gemma":[0.9973591,0.0007050811,0.0002669656,0.0007196272,0.0006265211,0.0003227051],"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":[0.0000322893,0.00001136987,0.0003703078,0.0005549472,0.00001540635,0.0000157008,0.00002217159,0.0001121476,0.0001300677,0.0004051473,0.9968987,0.001431701],"study_design_scores_gemma":[0.00006864553,0.000007575572,0.001715238,0.0001799088,0.00001362596,0.00003719352,0.00005929761,0.0001199248,0.0002004956,0.000775571,0.9968057,0.00001681846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004154082,0.00002765653,0.00004147424,0.00003586972,0.00001088135,0.000005559981,0.998777,0.0003780951,0.0006820091],"genre_scores_gemma":[0.0001600609,0.00003470073,0.0001847039,0.00004819107,0.000003572617,0.00004049914,0.9988958,0.000151742,0.000480731],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8367721,"threshold_uncertainty_score":0.5460517,"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."}}