{"id":"W6887277312","doi":"10.15468/dl.vrewal","title":"Occurrence Download","year":2019,"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":[0.0009294535,0.00169294,0.001482909,0.005169776,0.0008635922,0.002402849,0.002528058,0.001650144,0.1744728],"category_scores_gemma":[0.005285283,0.0007939992,0.001073946,0.01045205,0.0003982892,0.002108583,0.002525504,0.001762352,0.2302061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470404,"about_ca_system_score_gemma":0.002375297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02396633,"about_ca_topic_score_gemma":0.04219782,"domain_scores_codex":[0.9990124,0.0001298751,0.0001296611,0.0003237775,0.0002283715,0.0001758401],"domain_scores_gemma":[0.9976177,0.0005969871,0.0002341341,0.0006131709,0.0006513328,0.0002865784],"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":[0.00002722251,0.000009549231,0.000374313,0.0004770199,0.00001410556,0.00001297316,0.00002055696,0.0001114337,0.0001138612,0.0003707782,0.9970022,0.001466031],"study_design_scores_gemma":[0.00006149945,0.00000756437,0.001930743,0.0001825494,0.00001294814,0.00003171704,0.00006678428,0.0001256184,0.0001864518,0.0007450574,0.996633,0.00001608173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003465362,0.00002145848,0.00003682191,0.0000280438,0.000009496857,0.000004778254,0.9989182,0.000311166,0.0006354364],"genre_scores_gemma":[0.0001520627,0.00003034509,0.0001640406,0.00004047983,0.000003351528,0.00003494768,0.9989707,0.0001269509,0.0004771723],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8255273,"threshold_uncertainty_score":0.5836695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}