{"id":"W6887227908","doi":"10.15468/dl.vq9tcs","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","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":[0.0009900465,0.002096407,0.001563212,0.005443177,0.001000964,0.002597836,0.002954535,0.002073592,0.1282973],"category_scores_gemma":[0.005919206,0.0008342401,0.001223441,0.01028143,0.0004401961,0.002292465,0.00257598,0.002072605,0.1980958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646999,"about_ca_system_score_gemma":0.002589711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02374006,"about_ca_topic_score_gemma":0.03950845,"domain_scores_codex":[0.9988791,0.0001527711,0.0001458231,0.0003671474,0.0002621893,0.0001928648],"domain_scores_gemma":[0.9974543,0.000633575,0.0002466437,0.0007002163,0.0006625744,0.0003027345],"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":[0.00003214721,0.00001291003,0.000397624,0.0004937841,0.00001590184,0.00001513897,0.00002035077,0.0001255386,0.0001103281,0.0003571752,0.9970037,0.001415311],"study_design_scores_gemma":[0.00008023068,0.0000092561,0.002081644,0.0001873892,0.00001544044,0.0000398826,0.00006831439,0.0001657274,0.0002061201,0.0007948491,0.9963328,0.00001846263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004761244,0.00002959317,0.00003885414,0.00003650225,0.00001206875,0.000005673252,0.9988697,0.0003702836,0.0005897881],"genre_scores_gemma":[0.0001431642,0.00003004581,0.0001541848,0.00003609371,0.000003379074,0.00003352098,0.999126,0.00009731751,0.0003762576],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8717027,"threshold_uncertainty_score":0.4291972,"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."}}