{"id":"W6887103933","doi":"10.15468/dl.n6q7g2","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); Range (aeronautics); Set (abstract data type); 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":[0.001108922,0.001894404,0.001634037,0.005500325,0.001034213,0.002838114,0.002898685,0.001995587,0.1824704],"category_scores_gemma":[0.006934762,0.001002861,0.001138398,0.01093386,0.0004608338,0.002458112,0.002805226,0.002030514,0.2416443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570947,"about_ca_system_score_gemma":0.002429783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02031791,"about_ca_topic_score_gemma":0.03240982,"domain_scores_codex":[0.9988488,0.0001528745,0.0001581832,0.0003952906,0.0002600983,0.0001848021],"domain_scores_gemma":[0.997134,0.0008264377,0.000269334,0.0007472386,0.0006994551,0.0003236039],"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":[0.00002756157,0.00001003551,0.000345914,0.0005416509,0.00001430942,0.00001453107,0.00002526308,0.0001088923,0.0001063243,0.0003899035,0.9970842,0.001331378],"study_design_scores_gemma":[0.00006662867,0.000006952546,0.001674557,0.0001903598,0.00001361977,0.00003520446,0.00007543799,0.0001251549,0.0001693331,0.0007456451,0.9968801,0.00001707079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003520845,0.00002219286,0.00004470764,0.00003224784,0.00001079352,0.000004893268,0.9988911,0.0003460212,0.0006129418],"genre_scores_gemma":[0.0001509751,0.0000319042,0.000191659,0.00004148358,0.000003257687,0.00004235618,0.9988972,0.0001724866,0.0004685761],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8175296,"threshold_uncertainty_score":0.6104244,"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."}}