{"id":"W6962164963","doi":"10.15468/dl.tkazyg","title":"Occurrence Download","year":2018,"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":[0.0009496057,0.002041782,0.001580263,0.005415517,0.0009289224,0.002607079,0.002870495,0.001980531,0.1435956],"category_scores_gemma":[0.005945968,0.0008552453,0.001194326,0.01032432,0.0004276035,0.002297211,0.002658747,0.002024912,0.2126696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613587,"about_ca_system_score_gemma":0.002557228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02374256,"about_ca_topic_score_gemma":0.03904952,"domain_scores_codex":[0.9989305,0.0001399566,0.0001346612,0.0003554922,0.0002537934,0.0001855245],"domain_scores_gemma":[0.9975432,0.0006056324,0.0002448099,0.0006599808,0.0006366888,0.0003097043],"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":[0.00002800815,0.00001062542,0.0003621075,0.0004628077,0.00001537171,0.00001264773,0.00001874506,0.0001147347,0.00009359587,0.0003356984,0.997171,0.00137466],"study_design_scores_gemma":[0.00007289083,0.000008002335,0.001939303,0.0001879292,0.00001510367,0.00003605283,0.00006049239,0.0001514096,0.0001795764,0.0007544089,0.9965782,0.00001667836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004039213,0.00003003862,0.00003758593,0.00003607792,0.00001183041,0.000004942568,0.9988927,0.000355869,0.0005905915],"genre_scores_gemma":[0.0001385439,0.00003212719,0.0001529331,0.00003924842,0.000003525812,0.00003101364,0.9990937,0.0001073339,0.0004016069],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8564044,"threshold_uncertainty_score":0.4803752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}