{"id":"W6924717183","doi":"10.15468/dl.t9pc5j","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); Alien; Range (aeronautics); Species name","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":[0.001035685,0.001866733,0.001542329,0.005089244,0.001037849,0.002834726,0.002794868,0.002038572,0.1866644],"category_scores_gemma":[0.006361123,0.0009321931,0.001184507,0.009633575,0.0004427915,0.002489004,0.002708352,0.002086108,0.2583279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609048,"about_ca_system_score_gemma":0.002349938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0191936,"about_ca_topic_score_gemma":0.03154996,"domain_scores_codex":[0.9989402,0.0001497917,0.0001294027,0.0003781562,0.000231091,0.0001713323],"domain_scores_gemma":[0.9974433,0.0007643043,0.0002220742,0.0006706205,0.000617788,0.0002818602],"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":[0.00002375749,0.000009923874,0.0003211896,0.0004984941,0.00001246215,0.00001330956,0.0000218413,0.0001034127,0.00009773715,0.0003755172,0.997143,0.001379308],"study_design_scores_gemma":[0.00005948265,0.000007306322,0.00152329,0.0001958278,0.00001262731,0.00003295738,0.00007184975,0.0001301798,0.0001610154,0.0007848394,0.9970044,0.0000161394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003647256,0.00002796205,0.00004551984,0.00004102703,0.00001307997,0.000005671953,0.9987419,0.0003697156,0.0007187444],"genre_scores_gemma":[0.0001532181,0.00003934883,0.0002048869,0.00005502716,0.00000408465,0.00004957138,0.9987165,0.0001735801,0.0006038515],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8133356,"threshold_uncertainty_score":0.6244546,"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."}}